Class: AWS.TranscribeService

Inherits:

AWS.Service

Object
AWS.Service
AWS.TranscribeService

show all

Identifier:: transcribeservice

API Version:: 2017-10-26

Defined in:: (unknown)

Overview

Constructs a service interface object. Each API operation is exposed as a function on service.

Service Description

Operations and objects for transcribing speech to text.

Sending a Request Using TranscribeService

var transcribeservice = new AWS.TranscribeService();
transcribeservice.createLanguageModel(params, function (err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Locking the API Version

In order to ensure that the TranscribeService object uses this specific API, you can construct the object by passing the apiVersion option to the constructor:

var transcribeservice = new AWS.TranscribeService({apiVersion: '2017-10-26'});

You can also set the API version globally in AWS.config.apiVersions using the transcribeservice service identifier:

AWS.config.apiVersions = {
  transcribeservice: '2017-10-26',
  // other service API versions
};

var transcribeservice = new AWS.TranscribeService();

Version:

2017-10-26

Constructor Summary collapse

new AWS.TranscribeService(options = {}) ⇒ Object constructor
Constructs a service object.

Property Summary collapse

endpoint ⇒ AWS.Endpoint readwrite
An Endpoint object representing the endpoint URL for service requests.

Properties inherited from AWS.Service

apiVersions

Method Summary collapse

createLanguageModel(params = {}, callback) ⇒ AWS.Request
Creates a new custom language model.
createMedicalVocabulary(params = {}, callback) ⇒ AWS.Request
Creates a new custom vocabulary that you can use to change how Amazon Transcribe Medical transcribes your audio file.
createVocabulary(params = {}, callback) ⇒ AWS.Request
Creates a new custom vocabulary that you can use to change the way Amazon Transcribe handles transcription of an audio file.
createVocabularyFilter(params = {}, callback) ⇒ AWS.Request
Creates a new vocabulary filter that you can use to filter words, such as profane words, from the output of a transcription job.
deleteLanguageModel(params = {}, callback) ⇒ AWS.Request
Deletes a custom language model using its name.
deleteMedicalTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Deletes a transcription job generated by Amazon Transcribe Medical and any related information.
deleteMedicalVocabulary(params = {}, callback) ⇒ AWS.Request
Deletes a vocabulary from Amazon Transcribe Medical.
deleteTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Deletes a previously submitted transcription job along with any other generated results such as the transcription, models, and so on.
deleteVocabulary(params = {}, callback) ⇒ AWS.Request
Deletes a vocabulary from Amazon Transcribe.
deleteVocabularyFilter(params = {}, callback) ⇒ AWS.Request
Removes a vocabulary filter.
describeLanguageModel(params = {}, callback) ⇒ AWS.Request
Gets information about a single custom language model.
getMedicalTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Returns information about a transcription job from Amazon Transcribe Medical.
getMedicalVocabulary(params = {}, callback) ⇒ AWS.Request
Retrieves information about a medical vocabulary.
getTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Returns information about a transcription job.
getVocabulary(params = {}, callback) ⇒ AWS.Request
Gets information about a vocabulary.
getVocabularyFilter(params = {}, callback) ⇒ AWS.Request
Returns information about a vocabulary filter.
listLanguageModels(params = {}, callback) ⇒ AWS.Request
Provides more information about the custom language models you've created.
listMedicalTranscriptionJobs(params = {}, callback) ⇒ AWS.Request
Lists medical transcription jobs with a specified status or substring that matches their names.
listMedicalVocabularies(params = {}, callback) ⇒ AWS.Request
Returns a list of vocabularies that match the specified criteria.
listTranscriptionJobs(params = {}, callback) ⇒ AWS.Request
Lists transcription jobs with the specified status.
listVocabularies(params = {}, callback) ⇒ AWS.Request
Returns a list of vocabularies that match the specified criteria.
listVocabularyFilters(params = {}, callback) ⇒ AWS.Request
Gets information about vocabulary filters.
startMedicalTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Starts a batch job to transcribe medical speech to text.
startTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Starts an asynchronous job to transcribe speech to text.
updateMedicalVocabulary(params = {}, callback) ⇒ AWS.Request
Updates a vocabulary with new values that you provide in a different text file from the one you used to create the vocabulary.
updateVocabulary(params = {}, callback) ⇒ AWS.Request
Updates an existing vocabulary with new values.
updateVocabularyFilter(params = {}, callback) ⇒ AWS.Request
Updates a vocabulary filter with a new list of filtered words.

Methods inherited from AWS.Service

makeRequest, makeUnauthenticatedRequest, waitFor, setupRequestListeners, defineService

Constructor Details

new AWS.TranscribeService(options = {}) ⇒ `Object`

Constructs a service object. This object has one method for each API operation.

Examples:

Constructing a TranscribeService object

var transcribeservice = new AWS.TranscribeService({apiVersion: '2017-10-26'});

Options Hash (options):

params (map) —
An optional map of parameters to bind to every request sent by this service object. For more information on bound parameters, see "Working with Services" in the Getting Started Guide.
endpoint (String|AWS.Endpoint) —
The endpoint URI to send requests to. The default endpoint is built from the configured region. The endpoint should be a string like 'https://{service}.{region}.amazonaws.com' or an Endpoint object.
accessKeyId (String) —
your AWS access key ID.
secretAccessKey (String) —
your AWS secret access key.
sessionToken (AWS.Credentials) —
the optional AWS session token to sign requests with.
credentials (AWS.Credentials) —
the AWS credentials to sign requests with. You can either specify this object, or specify the accessKeyId and secretAccessKey options directly.
credentialProvider (AWS.CredentialProviderChain) —
the provider chain used to resolve credentials if no static credentials property is set.
region (String) —
the region to send service requests to. See AWS.TranscribeService.region for more information.
maxRetries (Integer) —
the maximum amount of retries to attempt with a request. See AWS.TranscribeService.maxRetries for more information.
maxRedirects (Integer) —
the maximum amount of redirects to follow with a request. See AWS.TranscribeService.maxRedirects for more information.
sslEnabled (Boolean) —
whether to enable SSL for requests.
paramValidation (Boolean|map) —
whether input parameters should be validated against the operation description before sending the request. Defaults to true. Pass a map to enable any of the following specific validation features:
- min [Boolean] — Validates that a value meets the min constraint. This is enabled by default when paramValidation is set to true.
- max [Boolean] — Validates that a value meets the max constraint.
- pattern [Boolean] — Validates that a string value matches a regular expression.
- enum [Boolean] — Validates that a string value matches one of the allowable enum values.
computeChecksums (Boolean) —
whether to compute checksums for payload bodies when the service accepts it (currently supported in S3 only)
convertResponseTypes (Boolean) —
whether types are converted when parsing response data. Currently only supported for JSON based services. Turning this off may improve performance on large response payloads. Defaults to true.
correctClockSkew (Boolean) —
whether to apply a clock skew correction and retry requests that fail because of an skewed client clock. Defaults to false.
s3ForcePathStyle (Boolean) —
whether to force path style URLs for S3 objects.
s3BucketEndpoint (Boolean) —
whether the provided endpoint addresses an individual bucket (false if it addresses the root API endpoint). Note that setting this configuration option requires an endpoint to be provided explicitly to the service constructor.
s3DisableBodySigning (Boolean) —
whether S3 body signing should be disabled when using signature version v4. Body signing can only be disabled when using https. Defaults to true.
s3UsEast1RegionalEndpoint ('legacy'|'regional') —
when region is set to 'us-east-1', whether to send s3 request to global endpoints or 'us-east-1' regional endpoints. This config is only applicable to S3 client. Defaults to legacy
s3UseArnRegion (Boolean) —
whether to override the request region with the region inferred from requested resource's ARN. Only available for S3 buckets Defaults to true
retryDelayOptions (map) —
A set of options to configure the retry delay on retryable errors. Currently supported options are:
- base [Integer] — The base number of milliseconds to use in the exponential backoff for operation retries. Defaults to 100 ms for all services except DynamoDB, where it defaults to 50ms.
- customBackoff [function] — A custom function that accepts a retry count and error and returns the amount of time to delay in milliseconds. If the result is a non-zero negative value, no further retry attempts will be made. The base option will be ignored if this option is supplied. The function is only called for retryable errors.
httpOptions (map) —
A set of options to pass to the low-level HTTP request. Currently supported options are:
- proxy [String] — the URL to proxy requests through
- agent [http.Agent, https.Agent] — the Agent object to perform HTTP requests with. Used for connection pooling. Defaults to the global agent (http.globalAgent) for non-SSL connections. Note that for SSL connections, a special Agent object is used in order to enable peer certificate verification. This feature is only available in the Node.js environment.
- connectTimeout [Integer] — Sets the socket to timeout after failing to establish a connection with the server after connectTimeout milliseconds. This timeout has no effect once a socket connection has been established.
- timeout [Integer] — Sets the socket to timeout after timeout milliseconds of inactivity on the socket. Defaults to two minutes (120000).
- xhrAsync [Boolean] — Whether the SDK will send asynchronous HTTP requests. Used in the browser environment only. Set to false to send requests synchronously. Defaults to true (async on).
- xhrWithCredentials [Boolean] — Sets the "withCredentials" property of an XMLHttpRequest object. Used in the browser environment only. Defaults to false.
apiVersion (String, Date) —
a String in YYYY-MM-DD format (or a date) that represents the latest possible API version that can be used in all services (unless overridden by apiVersions). Specify 'latest' to use the latest possible version.
apiVersions (map<String, String|Date>) —
a map of service identifiers (the lowercase service class name) with the API version to use when instantiating a service. Specify 'latest' for each individual that can use the latest available version.
logger (#write, #log) —
an object that responds to .write() (like a stream) or .log() (like the console object) in order to log information about requests
systemClockOffset (Number) —
an offset value in milliseconds to apply to all signing times. Use this to compensate for clock skew when your system may be out of sync with the service time. Note that this configuration option can only be applied to the global AWS.config object and cannot be overridden in service-specific configuration. Defaults to 0 milliseconds.
signatureVersion (String) —
the signature version to sign requests with (overriding the API configuration). Possible values are: 'v2', 'v3', 'v4'.
signatureCache (Boolean) —
whether the signature to sign requests with (overriding the API configuration) is cached. Only applies to the signature version 'v4'. Defaults to true.
dynamoDbCrc32 (Boolean) —
whether to validate the CRC32 checksum of HTTP response bodies returned by DynamoDB. Default: true.
useAccelerateEndpoint (Boolean) —
Whether to use the S3 Transfer Acceleration endpoint with the S3 service. Default: false.
clientSideMonitoring (Boolean) —
whether to collect and publish this client's performance metrics of all its API requests.
endpointDiscoveryEnabled (Boolean|undefined) —
whether to call operations with endpoints given by service dynamically. Setting this
endpointCacheSize (Number) —
the size of the global cache storing endpoints from endpoint discovery operations. Once endpoint cache is created, updating this setting cannot change existing cache size. Defaults to 1000
hostPrefixEnabled (Boolean) —
whether to marshal request parameters to the prefix of hostname. Defaults to true.
stsRegionalEndpoints ('legacy'|'regional') —
whether to send sts request to global endpoints or regional endpoints. Defaults to 'legacy'.

Property Details

endpoint ⇒ `AWS.Endpoint` (readwrite)

Returns an Endpoint object representing the endpoint URL for service requests.

Returns:

(AWS.Endpoint) —
an Endpoint object representing the endpoint URL for service requests.

Method Details

createLanguageModel(params = {}, callback) ⇒ `AWS.Request`

Creates a new custom language model. Use Amazon S3 prefixes to provide the location of your input files. The time it takes to create your model depends on the size of your training data.

Service Reference:

CreateLanguageModel

Examples:

Calling the createLanguageModel operation

var params = {
  BaseModelName: NarrowBand | WideBand, /* required */
  InputDataConfig: { /* required */
    DataAccessRoleArn: 'STRING_VALUE', /* required */
    S3Uri: 'STRING_VALUE', /* required */
    TuningDataS3Uri: 'STRING_VALUE'
  },
  LanguageCode: en-US, /* required */
  ModelName: 'STRING_VALUE' /* required */
};
transcribeservice.createLanguageModel(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- LanguageCode — (String)
  The language of the input text you're using to train your custom language model.
  Possible values include:
  - "en-US"
- BaseModelName — (String)
  The Amazon Transcribe standard language model, or base model used to create your custom language model.
  
  If you want to use your custom language model to transcribe audio with a sample rate of 16 kHz or greater, choose Wideband.
  
  If you want to use your custom language model to transcribe audio with a sample rate that is less than 16 kHz, choose Narrowband.
  Possible values include:
  - "NarrowBand"
  - "WideBand"
- ModelName — (String)
  The name you choose for your custom language model when you create it.
- InputDataConfig — (map)
  Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.
  - S3Uri — required — (String)
    The Amazon S3 prefix you specify to access the plain text files that you use to train your custom language model.
  - TuningDataS3Uri — (String)
    The Amazon S3 prefix you specify to access the plain text files that you use to tune your custom language model.
  - DataAccessRoleArn — required — (String)
    The Amazon Resource Name (ARN) that uniquely identifies the permissions you've given Amazon Transcribe to access your Amazon S3 buckets containing your media files or text data.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - LanguageCode — (String)
    The language code of the text you've used to create a custom language model.
    Possible values include:
    
    "en-US"
  - BaseModelName — (String)
    The Amazon Transcribe standard language model, or base model you've used to create a custom language model.
    Possible values include:
    
    "NarrowBand"
    
    "WideBand"
  - ModelName — (String)
    The name you've chosen for your custom language model.
  - InputDataConfig — (map)
    The data access role and Amazon S3 prefixes you've chosen to create your custom language model.
    
    S3Uri — required — (String)
    The Amazon S3 prefix you specify to access the plain text files that you use to train your custom language model.
    
    TuningDataS3Uri — (String)
    The Amazon S3 prefix you specify to access the plain text files that you use to tune your custom language model.
    
    DataAccessRoleArn — required — (String)
    The Amazon Resource Name (ARN) that uniquely identifies the permissions you've given Amazon Transcribe to access your Amazon S3 buckets containing your media files or text data.
  - ModelStatus — (String)
    The status of the custom language model. When the status is COMPLETED the model is ready to use.
    Possible values include:
    
    "IN_PROGRESS"
    
    "FAILED"
    
    "COMPLETED"

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

createMedicalVocabulary(params = {}, callback) ⇒ `AWS.Request`

Creates a new custom vocabulary that you can use to change how Amazon Transcribe Medical transcribes your audio file.

Service Reference:

CreateMedicalVocabulary

Examples:

Calling the createMedicalVocabulary operation

var params = {
  LanguageCode: af-ZA | ar-AE | ar-SA | cy-GB | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | ga-IE | gd-GB | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN, /* required */
  VocabularyFileUri: 'STRING_VALUE', /* required */
  VocabularyName: 'STRING_VALUE' /* required */
};
transcribeservice.createMedicalVocabulary(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- VocabularyName — (String)
  The name of the custom vocabulary. This case-sensitive name must be unique within an AWS account. If you try to create a vocabulary with the same name as a previous vocabulary, you get a ConflictException error.
- LanguageCode — (String)
  The language code for the language used for the entries in your custom vocabulary. The language code of your custom vocabulary must match the language code of your transcription job. US English (en-US) is the only language code available for Amazon Transcribe Medical.
  Possible values include:
  - "af-ZA"
  - "ar-AE"
  - "ar-SA"
  - "cy-GB"
  - "da-DK"
  - "de-CH"
  - "de-DE"
  - "en-AB"
  - "en-AU"
  - "en-GB"
  - "en-IE"
  - "en-IN"
  - "en-US"
  - "en-WL"
  - "es-ES"
  - "es-US"
  - "fa-IR"
  - "fr-CA"
  - "fr-FR"
  - "ga-IE"
  - "gd-GB"
  - "he-IL"
  - "hi-IN"
  - "id-ID"
  - "it-IT"
  - "ja-JP"
  - "ko-KR"
  - "ms-MY"
  - "nl-NL"
  - "pt-BR"
  - "pt-PT"
  - "ru-RU"
  - "ta-IN"
  - "te-IN"
  - "tr-TR"
  - "zh-CN"
- VocabularyFileUri — (String)
  The location in Amazon S3 of the text file you use to define your custom vocabulary. The URI must be in the same AWS Region as the resource that you're calling. Enter information about your VocabularyFileUri in the following format:
  
  https://s3.<aws-region>.amazonaws.com/<bucket-name>/<keyprefix>/<objectkey>
  
  The following is an example URI for a vocabulary file that is stored in Amazon S3:
  
  https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt
  
  For more information about Amazon S3 object names, see Object Keys in the Amazon S3 Developer Guide.
  
  For more information about custom vocabularies, see Medical Custom Vocabularies.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - VocabularyName — (String)
    The name of the vocabulary. The name must be unique within an AWS account and is case sensitive.
  - LanguageCode — (String)
    The language code for the entries in your custom vocabulary. US English (en-US) is the only valid language code for Amazon Transcribe Medical.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
  - VocabularyState — (String)
    The processing state of your custom vocabulary in Amazon Transcribe Medical. If the state is READY, you can use the vocabulary in a StartMedicalTranscriptionJob request.
    Possible values include:
    
    "PENDING"
    
    "READY"
    
    "FAILED"
  - LastModifiedTime — (Date)
    The date and time that you created the vocabulary.
  - FailureReason — (String)
    If the VocabularyState field is FAILED, this field contains information about why the job failed.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

createVocabulary(params = {}, callback) ⇒ `AWS.Request`

Creates a new custom vocabulary that you can use to change the way Amazon Transcribe handles transcription of an audio file.

Service Reference:

CreateVocabulary

Examples:

Calling the createVocabulary operation

var params = {
  LanguageCode: af-ZA | ar-AE | ar-SA | cy-GB | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | ga-IE | gd-GB | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN, /* required */
  VocabularyName: 'STRING_VALUE', /* required */
  Phrases: [
    'STRING_VALUE',
    /* more items */
  ],
  VocabularyFileUri: 'STRING_VALUE'
};
transcribeservice.createVocabulary(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- VocabularyName — (String)
  The name of the vocabulary. The name must be unique within an AWS account. The name is case sensitive. If you try to create a vocabulary with the same name as a previous vocabulary you will receive a ConflictException error.
- LanguageCode — (String)
  The language code of the vocabulary entries.
  Possible values include:
  - "af-ZA"
  - "ar-AE"
  - "ar-SA"
  - "cy-GB"
  - "da-DK"
  - "de-CH"
  - "de-DE"
  - "en-AB"
  - "en-AU"
  - "en-GB"
  - "en-IE"
  - "en-IN"
  - "en-US"
  - "en-WL"
  - "es-ES"
  - "es-US"
  - "fa-IR"
  - "fr-CA"
  - "fr-FR"
  - "ga-IE"
  - "gd-GB"
  - "he-IL"
  - "hi-IN"
  - "id-ID"
  - "it-IT"
  - "ja-JP"
  - "ko-KR"
  - "ms-MY"
  - "nl-NL"
  - "pt-BR"
  - "pt-PT"
  - "ru-RU"
  - "ta-IN"
  - "te-IN"
  - "tr-TR"
  - "zh-CN"
- Phrases — (Array<String>)
  An array of strings that contains the vocabulary entries.
- VocabularyFileUri — (String)
  The S3 location of the text file that contains the definition of the custom vocabulary. The URI must be in the same region as the API endpoint that you are calling. The general form is
  
  For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.
  
  For more information about custom vocabularies, see Custom Vocabularies.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - VocabularyName — (String)
    The name of the vocabulary.
  - LanguageCode — (String)
    The language code of the vocabulary entries.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
  - VocabularyState — (String)
    The processing state of the vocabulary. When the VocabularyState field contains READY the vocabulary is ready to be used in a StartTranscriptionJob request.
    Possible values include:
    
    "PENDING"
    
    "READY"
    
    "FAILED"
  - LastModifiedTime — (Date)
    The date and time that the vocabulary was created.
  - FailureReason — (String)
    If the VocabularyState field is FAILED, this field contains information about why the job failed.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

createVocabularyFilter(params = {}, callback) ⇒ `AWS.Request`

Creates a new vocabulary filter that you can use to filter words, such as profane words, from the output of a transcription job.

Service Reference:

CreateVocabularyFilter

Examples:

Calling the createVocabularyFilter operation

var params = {
  LanguageCode: af-ZA | ar-AE | ar-SA | cy-GB | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | ga-IE | gd-GB | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN, /* required */
  VocabularyFilterName: 'STRING_VALUE', /* required */
  VocabularyFilterFileUri: 'STRING_VALUE',
  Words: [
    'STRING_VALUE',
    /* more items */
  ]
};
transcribeservice.createVocabularyFilter(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- VocabularyFilterName — (String)
  The vocabulary filter name. The name must be unique within the account that contains it. If you try to create a vocabulary filter with the same name as another vocabulary filter, you get a ConflictException error.
- LanguageCode — (String)
  The language code of the words in the vocabulary filter. All words in the filter must be in the same language. The vocabulary filter can only be used with transcription jobs in the specified language.
  Possible values include:
  - "af-ZA"
  - "ar-AE"
  - "ar-SA"
  - "cy-GB"
  - "da-DK"
  - "de-CH"
  - "de-DE"
  - "en-AB"
  - "en-AU"
  - "en-GB"
  - "en-IE"
  - "en-IN"
  - "en-US"
  - "en-WL"
  - "es-ES"
  - "es-US"
  - "fa-IR"
  - "fr-CA"
  - "fr-FR"
  - "ga-IE"
  - "gd-GB"
  - "he-IL"
  - "hi-IN"
  - "id-ID"
  - "it-IT"
  - "ja-JP"
  - "ko-KR"
  - "ms-MY"
  - "nl-NL"
  - "pt-BR"
  - "pt-PT"
  - "ru-RU"
  - "ta-IN"
  - "te-IN"
  - "tr-TR"
  - "zh-CN"
- Words — (Array<String>)
  The words to use in the vocabulary filter. Only use characters from the character set defined for custom vocabularies. For a list of character sets, see Character Sets for Custom Vocabularies.
  
  If you provide a list of words in the Words parameter, you can't use the VocabularyFilterFileUri parameter.
- VocabularyFilterFileUri — (String)
  The Amazon S3 location of a text file used as input to create the vocabulary filter. Only use characters from the character set defined for custom vocabularies. For a list of character sets, see Character Sets for Custom Vocabularies.
  
  The specified file must be less than 50 KB of UTF-8 characters.
  
  If you provide the location of a list of words in the VocabularyFilterFileUri parameter, you can't use the Words parameter.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - VocabularyFilterName — (String)
    The name of the vocabulary filter.
  - LanguageCode — (String)
    The language code of the words in the collection.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
  - LastModifiedTime — (Date)
    The date and time that the vocabulary filter was modified.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

deleteLanguageModel(params = {}, callback) ⇒ `AWS.Request`

Deletes a custom language model using its name.

Service Reference:

DeleteLanguageModel

Examples:

Calling the deleteLanguageModel operation

var params = {
  ModelName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteLanguageModel(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ModelName — (String)
  The name of the model you're choosing to delete.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

deleteMedicalTranscriptionJob(params = {}, callback) ⇒ `AWS.Request`

Deletes a transcription job generated by Amazon Transcribe Medical and any related information.

Service Reference:

DeleteMedicalTranscriptionJob

Examples:

Calling the deleteMedicalTranscriptionJob operation

var params = {
  MedicalTranscriptionJobName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteMedicalTranscriptionJob(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- MedicalTranscriptionJobName — (String)
  The name you provide to the DeleteMedicalTranscriptionJob object to delete a transcription job.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

deleteMedicalVocabulary(params = {}, callback) ⇒ `AWS.Request`

Deletes a vocabulary from Amazon Transcribe Medical.

Service Reference:

DeleteMedicalVocabulary

Examples:

Calling the deleteMedicalVocabulary operation

var params = {
  VocabularyName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteMedicalVocabulary(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- VocabularyName — (String)
  The name of the vocabulary that you want to delete.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

deleteTranscriptionJob(params = {}, callback) ⇒ `AWS.Request`

Deletes a previously submitted transcription job along with any other generated results such as the transcription, models, and so on.

Service Reference:

DeleteTranscriptionJob

Examples:

Calling the deleteTranscriptionJob operation

var params = {
  TranscriptionJobName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteTranscriptionJob(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- TranscriptionJobName — (String)
  The name of the transcription job to be deleted.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

deleteVocabulary(params = {}, callback) ⇒ `AWS.Request`

Deletes a vocabulary from Amazon Transcribe.

Service Reference:

DeleteVocabulary

Examples:

Calling the deleteVocabulary operation

var params = {
  VocabularyName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteVocabulary(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- VocabularyName — (String)
  The name of the vocabulary to delete.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

deleteVocabularyFilter(params = {}, callback) ⇒ `AWS.Request`

Removes a vocabulary filter.

Service Reference:

DeleteVocabularyFilter

Examples:

Calling the deleteVocabularyFilter operation

var params = {
  VocabularyFilterName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteVocabularyFilter(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- VocabularyFilterName — (String)
  The name of the vocabulary filter to remove.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

describeLanguageModel(params = {}, callback) ⇒ `AWS.Request`

Gets information about a single custom language model. Use this information to see details about the language model in your AWS account. You can also see whether the base language model used to create your custom language model has been updated. If Amazon Transcribe has updated the base model, you can create a new custom language model using the updated base model. If the language model wasn't created, you can use this operation to understand why Amazon Transcribe couldn't create it.

Service Reference:

DescribeLanguageModel

Examples:

Calling the describeLanguageModel operation

var params = {
  ModelName: 'STRING_VALUE' /* required */
};
transcribeservice.describeLanguageModel(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- ModelName — (String)
  The name of the custom language model you submit to get more information.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - LanguageModel — (map)
    The name of the custom language model you requested more information about.
    
    ModelName — (String)
    The name of the custom language model.
    
    CreateTime — (Date)
    The time the custom language model was created.
    
    LastModifiedTime — (Date)
    The most recent time the custom language model was modified.
    
    LanguageCode — (String)
    The language code you used to create your custom language model.
    Possible values include:
    
    "en-US"
    
    BaseModelName — (String)
    The Amazon Transcribe standard language model, or base model used to create the custom language model.
    Possible values include:
    
    "NarrowBand"
    
    "WideBand"
    
    ModelStatus — (String)
    The creation status of a custom language model. When the status is COMPLETED the model is ready for use.
    Possible values include:
    
    "IN_PROGRESS"
    
    "FAILED"
    
    "COMPLETED"
    
    UpgradeAvailability — (Boolean)
    Whether the base model used for the custom language model is up to date. If this field is true then you are running the most up-to-date version of the base model in your custom language model.
    
    FailureReason — (String)
    The reason why the custom language model couldn't be created.
    
    InputDataConfig — (map)
    The data access role and Amazon S3 prefixes for the input files used to train the custom language model.
    
    S3Uri — required — (String)
    The Amazon S3 prefix you specify to access the plain text files that you use to train your custom language model.
    
    TuningDataS3Uri — (String)
    The Amazon S3 prefix you specify to access the plain text files that you use to tune your custom language model.
    
    DataAccessRoleArn — required — (String)
    The Amazon Resource Name (ARN) that uniquely identifies the permissions you've given Amazon Transcribe to access your Amazon S3 buckets containing your media files or text data.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

getMedicalTranscriptionJob(params = {}, callback) ⇒ `AWS.Request`

Returns information about a transcription job from Amazon Transcribe Medical. To see the status of the job, check the TranscriptionJobStatus field. If the status is COMPLETED, the job is finished. You find the results of the completed job in the TranscriptFileUri field.

Service Reference:

GetMedicalTranscriptionJob

Examples:

Calling the getMedicalTranscriptionJob operation

var params = {
  MedicalTranscriptionJobName: 'STRING_VALUE' /* required */
};
transcribeservice.getMedicalTranscriptionJob(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- MedicalTranscriptionJobName — (String)
  The name of the medical transcription job.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - MedicalTranscriptionJob — (map)
    An object that contains the results of the medical transcription job.
    
    MedicalTranscriptionJobName — (String)
    The name for a given medical transcription job.
    
    TranscriptionJobStatus — (String)
    The completion status of a medical transcription job.
    Possible values include:
    
    "QUEUED"
    
    "IN_PROGRESS"
    
    "FAILED"
    
    "COMPLETED"
    
    LanguageCode — (String)
    The language code for the language spoken in the source audio file. US English (en-US) is the only supported language for medical transcriptions. Any other value you enter for language code results in a BadRequestException error.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
    
    MediaSampleRateHertz — (Integer)
    The sample rate, in Hertz, of the source audio containing medical information.
    
    If you don't specify the sample rate, Amazon Transcribe Medical determines it for you. If you choose to specify the sample rate, it must match the rate detected by Amazon Transcribe Medical. In most cases, you should leave the MediaSampleHertz blank and let Amazon Transcribe Medical determine the sample rate.
    
    MediaFormat — (String)
    The format of the input media file.
    Possible values include:
    
    "mp3"
    
    "mp4"
    
    "wav"
    
    "flac"
    
    "ogg"
    
    "amr"
    
    "webm"
    
    Media — (map)
    Describes the input media file in a transcription request.
    
    MediaFileUri — (String)
    The S3 object location of the input media file. The URI must be in the same region as the API endpoint that you are calling. The general form is:
    
    For example:
    
    For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.
    
    Transcript — (map)
    An object that contains the MedicalTranscript. The MedicalTranscript contains the TranscriptFileUri.
    
    TranscriptFileUri — (String)
    The S3 object location of the medical transcript.
    
    Use this URI to access the medical transcript. This URI points to the S3 bucket you created to store the medical transcript.
    
    StartTime — (Date)
    A timestamp that shows when the job started processing.
    
    CreationTime — (Date)
    A timestamp that shows when the job was created.
    
    CompletionTime — (Date)
    A timestamp that shows when the job was completed.
    
    FailureReason — (String)
    If the TranscriptionJobStatus field is FAILED, this field contains information about why the job failed.
    
    The FailureReason field contains one of the following values:
    
    Unsupported media format- The media format specified in the MediaFormat field of the request isn't valid. See the description of the MediaFormat field for a list of valid values.
    
    The media format provided does not match the detected media format- The media format of the audio file doesn't match the format specified in the MediaFormat field in the request. Check the media format of your media file and make sure the two values match.
    
    Invalid sample rate for audio file- The sample rate specified in the MediaSampleRateHertz of the request isn't valid. The sample rate must be between 8000 and 48000 Hertz.
    
    The sample rate provided does not match the detected sample rate- The sample rate in the audio file doesn't match the sample rate specified in the MediaSampleRateHertz field in the request. Check the sample rate of your media file and make sure that the two values match.
    
    Invalid file size: file size too large- The size of your audio file is larger than what Amazon Transcribe Medical can process. For more information, see Guidelines and Quotas in the Amazon Transcribe Medical Guide
    
    Invalid number of channels: number of channels too large- Your audio contains more channels than Amazon Transcribe Medical is configured to process. To request additional channels, see Amazon Transcribe Medical Endpoints and Quotas in the Amazon Web Services General Reference
    
    Settings — (map)
    Object that contains object.
    
    ShowSpeakerLabels — (Boolean)
    Determines whether the transcription job uses speaker recognition to identify different speakers in the input audio. Speaker recognition labels individual speakers in the audio file. If you set the ShowSpeakerLabels field to true, you must also set the maximum number of speaker labels in the MaxSpeakerLabels field.
    
    You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException.
    
    MaxSpeakerLabels — (Integer)
    The maximum number of speakers to identify in the input audio. If there are more speakers in the audio than this number, multiple speakers are identified as a single speaker. If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.
    
    ChannelIdentification — (Boolean)
    Instructs Amazon Transcribe Medical to process each audio channel separately and then merge the transcription output of each channel into a single transcription.
    
    Amazon Transcribe Medical also produces a transcription of each item detected on an audio channel, including the start time and end time of the item and alternative transcriptions of item. The alternative transcriptions also come with confidence scores provided by Amazon Transcribe Medical.
    
    You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException
    
    ShowAlternatives — (Boolean)
    Determines whether alternative transcripts are generated along with the transcript that has the highest confidence. If you set ShowAlternatives field to true, you must also set the maximum number of alternatives to return in the MaxAlternatives field.
    
    MaxAlternatives — (Integer)
    The maximum number of alternatives that you tell the service to return. If you specify the MaxAlternatives field, you must set the ShowAlternatives field to true.
    
    VocabularyName — (String)
    The name of the vocabulary to use when processing a medical transcription job.
    
    Specialty — (String)
    The medical specialty of any clinicians providing a dictation or having a conversation. PRIMARYCARE is the only available setting for this object. This specialty enables you to generate transcriptions for the following medical fields:
    
    Family Medicine
    
    Possible values include:
    
    "PRIMARYCARE"
    
    Type — (String)
    The type of speech in the transcription job. CONVERSATION is generally used for patient-physician dialogues. DICTATION is the setting for physicians speaking their notes after seeing a patient. For more information, see how-it-works-med
    Possible values include:
    
    "CONVERSATION"
    
    "DICTATION"

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

getMedicalVocabulary(params = {}, callback) ⇒ `AWS.Request`

Retrieves information about a medical vocabulary.

Service Reference:

GetMedicalVocabulary

Examples:

Calling the getMedicalVocabulary operation

var params = {
  VocabularyName: 'STRING_VALUE' /* required */
};
transcribeservice.getMedicalVocabulary(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- VocabularyName — (String)
  The name of the vocabulary that you want information about. The value is case sensitive.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - VocabularyName — (String)
    The name of the vocabulary returned by Amazon Transcribe Medical.
  - LanguageCode — (String)
    The valid language code for your vocabulary entries.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
  - VocabularyState — (String)
    The processing state of the vocabulary. If the VocabularyState is READY then you can use it in the StartMedicalTranscriptionJob operation.
    Possible values include:
    
    "PENDING"
    
    "READY"
    
    "FAILED"
  - LastModifiedTime — (Date)
    The date and time that the vocabulary was last modified with a text file different from the one that was previously used.
  - FailureReason — (String)
    If the VocabularyState is FAILED, this field contains information about why the job failed.
  - DownloadUri — (String)
    The location in Amazon S3 where the vocabulary is stored. Use this URI to get the contents of the vocabulary. You can download your vocabulary from the URI for a limited time.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

getTranscriptionJob(params = {}, callback) ⇒ `AWS.Request`

Returns information about a transcription job. To see the status of the job, check the TranscriptionJobStatus field. If the status is COMPLETED, the job is finished and you can find the results at the location specified in the TranscriptFileUri field. If you enable content redaction, the redacted transcript appears in RedactedTranscriptFileUri.

Service Reference:

GetTranscriptionJob

Examples:

Calling the getTranscriptionJob operation

var params = {
  TranscriptionJobName: 'STRING_VALUE' /* required */
};
transcribeservice.getTranscriptionJob(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- TranscriptionJobName — (String)
  The name of the job.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - TranscriptionJob — (map)
    An object that contains the results of the transcription job.
    
    TranscriptionJobName — (String)
    The name of the transcription job.
    
    TranscriptionJobStatus — (String)
    The status of the transcription job.
    Possible values include:
    
    "QUEUED"
    
    "IN_PROGRESS"
    
    "FAILED"
    
    "COMPLETED"
    
    LanguageCode — (String)
    The language code for the input speech.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
    
    MediaSampleRateHertz — (Integer)
    The sample rate, in Hertz, of the audio track in the input media file.
    
    MediaFormat — (String)
    The format of the input media file.
    Possible values include:
    
    "mp3"
    
    "mp4"
    
    "wav"
    
    "flac"
    
    "ogg"
    
    "amr"
    
    "webm"
    
    Media — (map)
    An object that describes the input media for the transcription job.
    
    MediaFileUri — (String)
    The S3 object location of the input media file. The URI must be in the same region as the API endpoint that you are calling. The general form is:
    
    For example:
    
    For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.
    
    Transcript — (map)
    An object that describes the output of the transcription job.
    
    TranscriptFileUri — (String)
    The S3 object location of the transcript.
    
    Use this URI to access the transcript. If you specified an S3 bucket in the OutputBucketName field when you created the job, this is the URI of that bucket. If you chose to store the transcript in Amazon Transcribe, this is a shareable URL that provides secure access to that location.
    
    RedactedTranscriptFileUri — (String)
    The S3 object location of the redacted transcript.
    
    Use this URI to access the redacted transcript. If you specified an S3 bucket in the OutputBucketName field when you created the job, this is the URI of that bucket. If you chose to store the transcript in Amazon Transcribe, this is a shareable URL that provides secure access to that location.
    
    StartTime — (Date)
    A timestamp that shows with the job was started processing.
    
    CreationTime — (Date)
    A timestamp that shows when the job was created.
    
    CompletionTime — (Date)
    A timestamp that shows when the job was completed.
    
    FailureReason — (String)
    If the TranscriptionJobStatus field is FAILED, this field contains information about why the job failed.
    
    The FailureReason field can contain one of the following values:
    
    Unsupported media format - The media format specified in the MediaFormat field of the request isn't valid. See the description of the MediaFormat field for a list of valid values.
    
    The media format provided does not match the detected media format - The media format of the audio file doesn't match the format specified in the MediaFormat field in the request. Check the media format of your media file and make sure that the two values match.
    
    Invalid sample rate for audio file - The sample rate specified in the MediaSampleRateHertz of the request isn't valid. The sample rate must be between 8000 and 48000 Hertz.
    
    The sample rate provided does not match the detected sample rate - The sample rate in the audio file doesn't match the sample rate specified in the MediaSampleRateHertz field in the request. Check the sample rate of your media file and make sure that the two values match.
    
    Invalid file size: file size too large - The size of your audio file is larger than Amazon Transcribe can process. For more information, see Limits in the Amazon Transcribe Developer Guide.
    
    Invalid number of channels: number of channels too large - Your audio contains more channels than Amazon Transcribe is configured to process. To request additional channels, see Amazon Transcribe Limits in the Amazon Web Services General Reference.
    
    Settings — (map)
    Optional settings for the transcription job. Use these settings to turn on speaker recognition, to set the maximum number of speakers that should be identified and to specify a custom vocabulary to use when processing the transcription job.
    
    VocabularyName — (String)
    The name of a vocabulary to use when processing the transcription job.
    
    ShowSpeakerLabels — (Boolean)
    Determines whether the transcription job uses speaker recognition to identify different speakers in the input audio. Speaker recognition labels individual speakers in the audio file. If you set the ShowSpeakerLabels field to true, you must also set the maximum number of speaker labels MaxSpeakerLabels field.
    
    You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException.
    
    MaxSpeakerLabels — (Integer)
    The maximum number of speakers to identify in the input audio. If there are more speakers in the audio than this number, multiple speakers are identified as a single speaker. If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.
    
    ChannelIdentification — (Boolean)
    Instructs Amazon Transcribe to process each audio channel separately and then merge the transcription output of each channel into a single transcription.
    
    Amazon Transcribe also produces a transcription of each item detected on an audio channel, including the start time and end time of the item and alternative transcriptions of the item including the confidence that Amazon Transcribe has in the transcription.
    
    You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException.
    
    ShowAlternatives — (Boolean)
    Determines whether the transcription contains alternative transcriptions. If you set the ShowAlternatives field to true, you must also set the maximum number of alternatives to return in the MaxAlternatives field.
    
    MaxAlternatives — (Integer)
    The number of alternative transcriptions that the service should return. If you specify the MaxAlternatives field, you must set the ShowAlternatives field to true.
    
    VocabularyFilterName — (String)
    The name of the vocabulary filter to use when transcribing the audio. The filter that you specify must have the same language code as the transcription job.
    
    VocabularyFilterMethod — (String)
    Set to mask to remove filtered text from the transcript and replace it with three asterisks ("***") as placeholder text. Set to remove to remove filtered text from the transcript without using placeholder text.
    Possible values include:
    
    "remove"
    
    "mask"
    
    ModelSettings — (map)
    An object containing the details of your custom language model.
    
    LanguageModelName — (String)
    The name of your custom language model.
    
    JobExecutionSettings — (map)
    Provides information about how a transcription job is executed.
    
    AllowDeferredExecution — (Boolean)
    Indicates whether a job should be queued by Amazon Transcribe when the concurrent execution limit is exceeded. When the AllowDeferredExecution field is true, jobs are queued and executed when the number of executing jobs falls below the concurrent execution limit. If the field is false, Amazon Transcribe returns a LimitExceededException exception.
    
    If you specify the AllowDeferredExecution field, you must specify the DataAccessRoleArn field.
    
    DataAccessRoleArn — (String)
    The Amazon Resource Name (ARN) of a role that has access to the S3 bucket that contains the input files. Amazon Transcribe assumes this role to read queued media files. If you have specified an output S3 bucket for the transcription results, this role should have access to the output bucket as well.
    
    If you specify the AllowDeferredExecution field, you must specify the DataAccessRoleArn field.
    
    ContentRedaction — (map)
    An object that describes content redaction settings for the transcription job.
    
    RedactionType — required — (String)
    Request parameter that defines the entities to be redacted. The only accepted value is PII.
    Possible values include:
    
    "PII"
    
    RedactionOutput — required — (String)
    The output transcript file stored in either the default S3 bucket or in a bucket you specify.
    
    When you choose redacted Amazon Transcribe outputs only the redacted transcript.
    
    When you choose redacted_and_unredacted Amazon Transcribe outputs both the redacted and unredacted transcripts.
    Possible values include:
    
    "redacted"
    
    "redacted_and_unredacted"
    
    IdentifyLanguage — (Boolean)
    A value that shows if automatic language identification was enabled for a transcription job.
    
    LanguageOptions — (Array<String>)
    An object that shows the optional array of languages inputted for transcription jobs with automatic language identification enabled.
    
    IdentifiedLanguageScore — (Float)
    A value between zero and one that Amazon Transcribe assigned to the language that it identified in the source audio. Larger values indicate that Amazon Transcribe has higher confidence in the language it identified.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

getVocabulary(params = {}, callback) ⇒ `AWS.Request`

Gets information about a vocabulary.

Service Reference:

GetVocabulary

Examples:

Calling the getVocabulary operation

var params = {
  VocabularyName: 'STRING_VALUE' /* required */
};
transcribeservice.getVocabulary(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- VocabularyName — (String)
  The name of the vocabulary to return information about. The name is case sensitive.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - VocabularyName — (String)
    The name of the vocabulary to return.
  - LanguageCode — (String)
    The language code of the vocabulary entries.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
  - VocabularyState — (String)
    The processing state of the vocabulary.
    Possible values include:
    
    "PENDING"
    
    "READY"
    
    "FAILED"
  - LastModifiedTime — (Date)
    The date and time that the vocabulary was last modified.
  - FailureReason — (String)
    If the VocabularyState field is FAILED, this field contains information about why the job failed.
  - DownloadUri — (String)
    The S3 location where the vocabulary is stored. Use this URI to get the contents of the vocabulary. The URI is available for a limited time.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

getVocabularyFilter(params = {}, callback) ⇒ `AWS.Request`

Returns information about a vocabulary filter.

Service Reference:

GetVocabularyFilter

Examples:

Calling the getVocabularyFilter operation

var params = {
  VocabularyFilterName: 'STRING_VALUE' /* required */
};
transcribeservice.getVocabularyFilter(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- VocabularyFilterName — (String)
  The name of the vocabulary filter for which to return information.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - VocabularyFilterName — (String)
    The name of the vocabulary filter.
  - LanguageCode — (String)
    The language code of the words in the vocabulary filter.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
  - LastModifiedTime — (Date)
    The date and time that the contents of the vocabulary filter were updated.
  - DownloadUri — (String)
    The URI of the list of words in the vocabulary filter. You can use this URI to get the list of words.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

listLanguageModels(params = {}, callback) ⇒ `AWS.Request`

Provides more information about the custom language models you've created. You can use the information in this list to find a specific custom language model. You can then use the operation to get more information about it.

Service Reference:

ListLanguageModels

Examples:

Calling the listLanguageModels operation

var params = {
  MaxResults: 'NUMBER_VALUE',
  NameContains: 'STRING_VALUE',
  NextToken: 'STRING_VALUE',
  StatusEquals: IN_PROGRESS | FAILED | COMPLETED
};
transcribeservice.listLanguageModels(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- StatusEquals — (String)
  When specified, returns only custom language models with the specified status. Language models are ordered by creation date, with the newest models first. If you don't specify a status, Amazon Transcribe returns all custom language models ordered by date.
  Possible values include:
  - "IN_PROGRESS"
  - "FAILED"
  - "COMPLETED"
- NameContains — (String)
  When specified, the custom language model names returned contain the substring you've specified.
- NextToken — (String)
  When included, fetches the next set of jobs if the result of the previous request was truncated.
- MaxResults — (Integer)
  The maximum number of language models to return in the response. If there are fewer results in the list, the response contains only the actual results.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - NextToken — (String)
    The operation returns a page of jobs at a time. The maximum size of the list is set by the MaxResults parameter. If there are more language models in the list than the page size, Amazon Transcribe returns the NextPage token. Include the token in the next request to the operation to return the next page of language models.
  - Models — (Array<map>)
    A list of objects containing information about custom language models.
    
    ModelName — (String)
    The name of the custom language model.
    
    CreateTime — (Date)
    The time the custom language model was created.
    
    LastModifiedTime — (Date)
    The most recent time the custom language model was modified.
    
    LanguageCode — (String)
    The language code you used to create your custom language model.
    Possible values include:
    
    "en-US"
    
    BaseModelName — (String)
    The Amazon Transcribe standard language model, or base model used to create the custom language model.
    Possible values include:
    
    "NarrowBand"
    
    "WideBand"
    
    ModelStatus — (String)
    The creation status of a custom language model. When the status is COMPLETED the model is ready for use.
    Possible values include:
    
    "IN_PROGRESS"
    
    "FAILED"
    
    "COMPLETED"
    
    UpgradeAvailability — (Boolean)
    Whether the base model used for the custom language model is up to date. If this field is true then you are running the most up-to-date version of the base model in your custom language model.
    
    FailureReason — (String)
    The reason why the custom language model couldn't be created.
    
    InputDataConfig — (map)
    The data access role and Amazon S3 prefixes for the input files used to train the custom language model.
    
    S3Uri — required — (String)
    The Amazon S3 prefix you specify to access the plain text files that you use to train your custom language model.
    
    TuningDataS3Uri — (String)
    The Amazon S3 prefix you specify to access the plain text files that you use to tune your custom language model.
    
    DataAccessRoleArn — required — (String)
    The Amazon Resource Name (ARN) that uniquely identifies the permissions you've given Amazon Transcribe to access your Amazon S3 buckets containing your media files or text data.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

listMedicalTranscriptionJobs(params = {}, callback) ⇒ `AWS.Request`

Lists medical transcription jobs with a specified status or substring that matches their names.

Service Reference:

ListMedicalTranscriptionJobs

Examples:

Calling the listMedicalTranscriptionJobs operation

var params = {
  JobNameContains: 'STRING_VALUE',
  MaxResults: 'NUMBER_VALUE',
  NextToken: 'STRING_VALUE',
  Status: QUEUED | IN_PROGRESS | FAILED | COMPLETED
};
transcribeservice.listMedicalTranscriptionJobs(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- Status — (String)
  When specified, returns only medical transcription jobs with the specified status. Jobs are ordered by creation date, with the newest jobs returned first. If you don't specify a status, Amazon Transcribe Medical returns all transcription jobs ordered by creation date.
  Possible values include:
  - "QUEUED"
  - "IN_PROGRESS"
  - "FAILED"
  - "COMPLETED"
- JobNameContains — (String)
  When specified, the jobs returned in the list are limited to jobs whose name contains the specified string.
- NextToken — (String)
  If you a receive a truncated result in the previous request of ListMedicalTranscriptionJobs, include NextToken to fetch the next set of jobs.
- MaxResults — (Integer)
  The maximum number of medical transcription jobs to return in the response. IF there are fewer results in the list, this response contains only the actual results.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - Status — (String)
    The requested status of the medical transcription jobs returned.
    Possible values include:
    
    "QUEUED"
    
    "IN_PROGRESS"
    
    "FAILED"
    
    "COMPLETED"
  - NextToken — (String)
    The ListMedicalTranscriptionJobs operation returns a page of jobs at a time. The maximum size of the page is set by the MaxResults parameter. If the number of jobs exceeds what can fit on a page, Amazon Transcribe Medical returns the NextPage token. Include the token in the next request to the ListMedicalTranscriptionJobs operation to return in the next page of jobs.
  - MedicalTranscriptionJobSummaries — (Array<map>)
    A list of objects containing summary information for a transcription job.
    
    MedicalTranscriptionJobName — (String)
    The name of a medical transcription job.
    
    CreationTime — (Date)
    A timestamp that shows when the medical transcription job was created.
    
    StartTime — (Date)
    A timestamp that shows when the job began processing.
    
    CompletionTime — (Date)
    A timestamp that shows when the job was completed.
    
    LanguageCode — (String)
    The language of the transcript in the source audio file.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
    
    TranscriptionJobStatus — (String)
    The status of the medical transcription job.
    Possible values include:
    
    "QUEUED"
    
    "IN_PROGRESS"
    
    "FAILED"
    
    "COMPLETED"
    
    FailureReason — (String)
    If the TranscriptionJobStatus field is FAILED, a description of the error.
    
    OutputLocationType — (String)
    Indicates the location of the transcription job's output.
    
    The CUSTOMER_BUCKET is the S3 location provided in the OutputBucketName field when the
    Possible values include:
    
    "CUSTOMER_BUCKET"
    
    "SERVICE_BUCKET"
    
    Specialty — (String)
    The medical specialty of the transcription job. Primary care is the only valid value.
    Possible values include:
    
    "PRIMARYCARE"
    
    Type — (String)
    The speech of the clinician in the input audio.
    Possible values include:
    
    "CONVERSATION"
    
    "DICTATION"

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

listMedicalVocabularies(params = {}, callback) ⇒ `AWS.Request`

Returns a list of vocabularies that match the specified criteria. If you don't enter a value in any of the request parameters, returns the entire list of vocabularies.

Service Reference:

ListMedicalVocabularies

Examples:

Calling the listMedicalVocabularies operation

var params = {
  MaxResults: 'NUMBER_VALUE',
  NameContains: 'STRING_VALUE',
  NextToken: 'STRING_VALUE',
  StateEquals: PENDING | READY | FAILED
};
transcribeservice.listMedicalVocabularies(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- NextToken — (String)
  If the result of your previous request to ListMedicalVocabularies was truncated, include the NextToken to fetch the next set of vocabularies.
- MaxResults — (Integer)
  The maximum number of vocabularies to return in the response.
- StateEquals — (String)
  When specified, returns only vocabularies with the VocabularyState equal to the specified vocabulary state. Use this field to see which vocabularies are ready for your medical transcription jobs.
  Possible values include:
  - "PENDING"
  - "READY"
  - "FAILED"
- NameContains — (String)
  Returns vocabularies whose names contain the specified string. The search is not case sensitive. ListMedicalVocabularies returns both "vocabularyname" and "VocabularyName".

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - Status — (String)
    The requested vocabulary state.
    Possible values include:
    
    "PENDING"
    
    "READY"
    
    "FAILED"
  - NextToken — (String)
    The ListMedicalVocabularies operation returns a page of vocabularies at a time. You set the maximum number of vocabularies to return on a page with the MaxResults parameter. If there are more jobs in the list will fit on a page, Amazon Transcribe Medical returns the NextPage token. To return the next page of vocabularies, include the token in the next request to the ListMedicalVocabularies operation .
  - Vocabularies — (Array<map>)
    A list of objects that describe the vocabularies that match your search criteria.
    
    VocabularyName — (String)
    The name of the vocabulary.
    
    LanguageCode — (String)
    The language code of the vocabulary entries.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
    
    LastModifiedTime — (Date)
    The date and time that the vocabulary was last modified.
    
    VocabularyState — (String)
    The processing state of the vocabulary. If the state is READY you can use the vocabulary in a StartTranscriptionJob request.
    Possible values include:
    
    "PENDING"
    
    "READY"
    
    "FAILED"

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

listTranscriptionJobs(params = {}, callback) ⇒ `AWS.Request`

Lists transcription jobs with the specified status.

Service Reference:

ListTranscriptionJobs

Examples:

Calling the listTranscriptionJobs operation

var params = {
  JobNameContains: 'STRING_VALUE',
  MaxResults: 'NUMBER_VALUE',
  NextToken: 'STRING_VALUE',
  Status: QUEUED | IN_PROGRESS | FAILED | COMPLETED
};
transcribeservice.listTranscriptionJobs(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- Status — (String)
  When specified, returns only transcription jobs with the specified status. Jobs are ordered by creation date, with the newest jobs returned first. If you don’t specify a status, Amazon Transcribe returns all transcription jobs ordered by creation date.
  Possible values include:
  - "QUEUED"
  - "IN_PROGRESS"
  - "FAILED"
  - "COMPLETED"
- JobNameContains — (String)
  When specified, the jobs returned in the list are limited to jobs whose name contains the specified string.
- NextToken — (String)
  If the result of the previous request to ListTranscriptionJobs was truncated, include the NextToken to fetch the next set of jobs.
- MaxResults — (Integer)
  The maximum number of jobs to return in the response. If there are fewer results in the list, this response contains only the actual results.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - Status — (String)
    The requested status of the jobs returned.
    Possible values include:
    
    "QUEUED"
    
    "IN_PROGRESS"
    
    "FAILED"
    
    "COMPLETED"
  - NextToken — (String)
    The ListTranscriptionJobs operation returns a page of jobs at a time. The maximum size of the page is set by the MaxResults parameter. If there are more jobs in the list than the page size, Amazon Transcribe returns the NextPage token. Include the token in the next request to the ListTranscriptionJobs operation to return in the next page of jobs.
  - TranscriptionJobSummaries — (Array<map>)
    A list of objects containing summary information for a transcription job.
    
    TranscriptionJobName — (String)
    The name of the transcription job.
    
    CreationTime — (Date)
    A timestamp that shows when the job was created.
    
    StartTime — (Date)
    A timestamp that shows when the job started processing.
    
    CompletionTime — (Date)
    A timestamp that shows when the job was completed.
    
    LanguageCode — (String)
    The language code for the input speech.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
    
    TranscriptionJobStatus — (String)
    The status of the transcription job. When the status is COMPLETED, use the GetTranscriptionJob operation to get the results of the transcription.
    Possible values include:
    
    "QUEUED"
    
    "IN_PROGRESS"
    
    "FAILED"
    
    "COMPLETED"
    
    FailureReason — (String)
    If the TranscriptionJobStatus field is FAILED, a description of the error.
    
    OutputLocationType — (String)
    Indicates the location of the output of the transcription job.
    
    If the value is CUSTOMER_BUCKET then the location is the S3 bucket specified in the outputBucketName field when the transcription job was started with the StartTranscriptionJob operation.
    
    If the value is SERVICE_BUCKET then the output is stored by Amazon Transcribe and can be retrieved using the URI in the GetTranscriptionJob response's TranscriptFileUri field.
    Possible values include:
    
    "CUSTOMER_BUCKET"
    
    "SERVICE_BUCKET"
    
    ContentRedaction — (map)
    The content redaction settings of the transcription job.
    
    RedactionType — required — (String)
    Request parameter that defines the entities to be redacted. The only accepted value is PII.
    Possible values include:
    
    "PII"
    
    RedactionOutput — required — (String)
    The output transcript file stored in either the default S3 bucket or in a bucket you specify.
    
    When you choose redacted Amazon Transcribe outputs only the redacted transcript.
    
    When you choose redacted_and_unredacted Amazon Transcribe outputs both the redacted and unredacted transcripts.
    Possible values include:
    
    "redacted"
    
    "redacted_and_unredacted"
    
    ModelSettings — (map)
    The object used to call your custom language model to your transcription job.
    
    LanguageModelName — (String)
    The name of your custom language model.
    
    IdentifyLanguage — (Boolean)
    Whether automatic language identification was enabled for a transcription job.
    
    IdentifiedLanguageScore — (Float)
    A value between zero and one that Amazon Transcribe assigned to the language it identified in the source audio. A higher score indicates that Amazon Transcribe is more confident in the language it identified.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

listVocabularies(params = {}, callback) ⇒ `AWS.Request`

Returns a list of vocabularies that match the specified criteria. If no criteria are specified, returns the entire list of vocabularies.

Service Reference:

ListVocabularies

Examples:

Calling the listVocabularies operation

var params = {
  MaxResults: 'NUMBER_VALUE',
  NameContains: 'STRING_VALUE',
  NextToken: 'STRING_VALUE',
  StateEquals: PENDING | READY | FAILED
};
transcribeservice.listVocabularies(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- NextToken — (String)
  If the result of the previous request to ListVocabularies was truncated, include the NextToken to fetch the next set of jobs.
- MaxResults — (Integer)
  The maximum number of vocabularies to return in the response. If there are fewer results in the list, this response contains only the actual results.
- StateEquals — (String)
  When specified, only returns vocabularies with the VocabularyState field equal to the specified state.
  Possible values include:
  - "PENDING"
  - "READY"
  - "FAILED"
- NameContains — (String)
  When specified, the vocabularies returned in the list are limited to vocabularies whose name contains the specified string. The search is not case sensitive, ListVocabularies returns both "vocabularyname" and "VocabularyName" in the response list.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - Status — (String)
    The requested vocabulary state.
    Possible values include:
    
    "PENDING"
    
    "READY"
    
    "FAILED"
  - NextToken — (String)
    The ListVocabularies operation returns a page of vocabularies at a time. The maximum size of the page is set in the MaxResults parameter. If there are more jobs in the list than will fit on the page, Amazon Transcribe returns the NextPage token. To return in the next page of jobs, include the token in the next request to the ListVocabularies operation.
  - Vocabularies — (Array<map>)
    A list of objects that describe the vocabularies that match the search criteria in the request.
    
    VocabularyName — (String)
    The name of the vocabulary.
    
    LanguageCode — (String)
    The language code of the vocabulary entries.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
    
    LastModifiedTime — (Date)
    The date and time that the vocabulary was last modified.
    
    VocabularyState — (String)
    The processing state of the vocabulary. If the state is READY you can use the vocabulary in a StartTranscriptionJob request.
    Possible values include:
    
    "PENDING"
    
    "READY"
    
    "FAILED"

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

listVocabularyFilters(params = {}, callback) ⇒ `AWS.Request`

Gets information about vocabulary filters.

Service Reference:

ListVocabularyFilters

Examples:

Calling the listVocabularyFilters operation

var params = {
  MaxResults: 'NUMBER_VALUE',
  NameContains: 'STRING_VALUE',
  NextToken: 'STRING_VALUE'
};
transcribeservice.listVocabularyFilters(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- NextToken — (String)
  If the result of the previous request to ListVocabularyFilters was truncated, include the NextToken to fetch the next set of collections.
- MaxResults — (Integer)
  The maximum number of filters to return in the response. If there are fewer results in the list, this response contains only the actual results.
- NameContains — (String)
  Filters the response so that it only contains vocabulary filters whose name contains the specified string.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - NextToken — (String)
    The ListVocabularyFilters operation returns a page of collections at a time. The maximum size of the page is set by the MaxResults parameter. If there are more jobs in the list than the page size, Amazon Transcribe returns the NextPage token. Include the token in the next request to the ListVocabularyFilters operation to return in the next page of jobs.
  - VocabularyFilters — (Array<map>)
    The list of vocabulary filters. It contains at most MaxResults number of filters. If there are more filters, call the ListVocabularyFilters operation again with the NextToken parameter in the request set to the value of the NextToken field in the response.
    
    VocabularyFilterName — (String)
    The name of the vocabulary filter. The name must be unique in the account that holds the filter.
    
    LanguageCode — (String)
    The language code of the words in the vocabulary filter.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
    
    LastModifiedTime — (Date)
    The date and time that the vocabulary was last updated.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

startMedicalTranscriptionJob(params = {}, callback) ⇒ `AWS.Request`

Starts a batch job to transcribe medical speech to text.

Service Reference:

StartMedicalTranscriptionJob

Examples:

Calling the startMedicalTranscriptionJob operation

var params = {
  LanguageCode: af-ZA | ar-AE | ar-SA | cy-GB | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | ga-IE | gd-GB | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN, /* required */
  Media: { /* required */
    MediaFileUri: 'STRING_VALUE'
  },
  MedicalTranscriptionJobName: 'STRING_VALUE', /* required */
  OutputBucketName: 'STRING_VALUE', /* required */
  Specialty: PRIMARYCARE, /* required */
  Type: CONVERSATION | DICTATION, /* required */
  MediaFormat: mp3 | mp4 | wav | flac | ogg | amr | webm,
  MediaSampleRateHertz: 'NUMBER_VALUE',
  OutputEncryptionKMSKeyId: 'STRING_VALUE',
  OutputKey: 'STRING_VALUE',
  Settings: {
    ChannelIdentification: true || false,
    MaxAlternatives: 'NUMBER_VALUE',
    MaxSpeakerLabels: 'NUMBER_VALUE',
    ShowAlternatives: true || false,
    ShowSpeakerLabels: true || false,
    VocabularyName: 'STRING_VALUE'
  }
};
transcribeservice.startMedicalTranscriptionJob(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- MedicalTranscriptionJobName — (String)
  The name of the medical transcription job. You can't use the strings "." or ".." by themselves as the job name. The name must also be unique within an AWS account. If you try to create a medical transcription job with the same name as a previous medical transcription job, you get a ConflictException error.
- LanguageCode — (String)
  The language code for the language spoken in the input media file. US English (en-US) is the valid value for medical transcription jobs. Any other value you enter for language code results in a BadRequestException error.
  Possible values include:
  - "af-ZA"
  - "ar-AE"
  - "ar-SA"
  - "cy-GB"
  - "da-DK"
  - "de-CH"
  - "de-DE"
  - "en-AB"
  - "en-AU"
  - "en-GB"
  - "en-IE"
  - "en-IN"
  - "en-US"
  - "en-WL"
  - "es-ES"
  - "es-US"
  - "fa-IR"
  - "fr-CA"
  - "fr-FR"
  - "ga-IE"
  - "gd-GB"
  - "he-IL"
  - "hi-IN"
  - "id-ID"
  - "it-IT"
  - "ja-JP"
  - "ko-KR"
  - "ms-MY"
  - "nl-NL"
  - "pt-BR"
  - "pt-PT"
  - "ru-RU"
  - "ta-IN"
  - "te-IN"
  - "tr-TR"
  - "zh-CN"
- MediaSampleRateHertz — (Integer)
  The sample rate, in Hertz, of the audio track in the input media file.
  
  If you do not specify the media sample rate, Amazon Transcribe Medical determines the sample rate. If you specify the sample rate, it must match the rate detected by Amazon Transcribe Medical. In most cases, you should leave the MediaSampleRateHertz field blank and let Amazon Transcribe Medical determine the sample rate.
- MediaFormat — (String)
  The audio format of the input media file.
  Possible values include:
  - "mp3"
  - "mp4"
  - "wav"
  - "flac"
  - "ogg"
  - "amr"
  - "webm"
- Media — (map)
  Describes the input media file in a transcription request.
  - MediaFileUri — (String)
    The S3 object location of the input media file. The URI must be in the same region as the API endpoint that you are calling. The general form is:
    
    For example:
    
    For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.
- OutputBucketName — (String)
  The Amazon S3 location where the transcription is stored.
  
  You must set OutputBucketName for Amazon Transcribe Medical to store the transcription results. Your transcript appears in the S3 location you specify. When you call the GetMedicalTranscriptionJob, the operation returns this location in the TranscriptFileUri field. The S3 bucket must have permissions that allow Amazon Transcribe Medical to put files in the bucket. For more information, see Permissions Required for IAM User Roles.
  
  You can specify an AWS Key Management Service (KMS) key to encrypt the output of your transcription using the OutputEncryptionKMSKeyId parameter. If you don't specify a KMS key, Amazon Transcribe Medical uses the default Amazon S3 key for server-side encryption of transcripts that are placed in your S3 bucket.
- OutputKey — (String)
  You can specify a location in an Amazon S3 bucket to store the output of your medical transcription job.
  
  If you don't specify an output key, Amazon Transcribe Medical stores the output of your transcription job in the Amazon S3 bucket you specified. By default, the object key is "your-transcription-job-name.json".
  
  You can use output keys to specify the Amazon S3 prefix and file name of the transcription output. For example, specifying the Amazon S3 prefix, "folder1/folder2/", as an output key would lead to the output being stored as "folder1/folder2/your-transcription-job-name.json". If you specify "my-other-job-name.json" as the output key, the object key is changed to "my-other-job-name.json". You can use an output key to change both the prefix and the file name, for example "folder/my-other-job-name.json".
  
  If you specify an output key, you must also specify an S3 bucket in the OutputBucketName parameter.
- OutputEncryptionKMSKeyId — (String)
  The Amazon Resource Name (ARN) of the AWS Key Management Service (KMS) key used to encrypt the output of the transcription job. The user calling the StartMedicalTranscriptionJob operation must have permission to use the specified KMS key.
  
  You use either of the following to identify a KMS key in the current account:
  - KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
  - KMS Key Alias: "alias/ExampleAlias"
  You can use either of the following to identify a KMS key in the current account or another account:
  - Amazon Resource Name (ARN) of a KMS key in the current account or another account: "arn:aws:kms:region:account ID:key/1234abcd-12ab-34cd-56ef-1234567890ab"
  - ARN of a KMS Key Alias: "arn:aws:kms:region:account ID:alias/ExampleAlias"
  If you don't specify an encryption key, the output of the medical transcription job is encrypted with the default Amazon S3 key (SSE-S3).
  
  If you specify a KMS key to encrypt your output, you must also specify an output location in the OutputBucketName parameter.
- Settings — (map)
  Optional settings for the medical transcription job.
  - ShowSpeakerLabels — (Boolean)
    Determines whether the transcription job uses speaker recognition to identify different speakers in the input audio. Speaker recognition labels individual speakers in the audio file. If you set the ShowSpeakerLabels field to true, you must also set the maximum number of speaker labels in the MaxSpeakerLabels field.
    
    You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException.
  - MaxSpeakerLabels — (Integer)
    The maximum number of speakers to identify in the input audio. If there are more speakers in the audio than this number, multiple speakers are identified as a single speaker. If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.
  - ChannelIdentification — (Boolean)
    Instructs Amazon Transcribe Medical to process each audio channel separately and then merge the transcription output of each channel into a single transcription.
    
    Amazon Transcribe Medical also produces a transcription of each item detected on an audio channel, including the start time and end time of the item and alternative transcriptions of item. The alternative transcriptions also come with confidence scores provided by Amazon Transcribe Medical.
    
    You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException
  - ShowAlternatives — (Boolean)
    Determines whether alternative transcripts are generated along with the transcript that has the highest confidence. If you set ShowAlternatives field to true, you must also set the maximum number of alternatives to return in the MaxAlternatives field.
  - MaxAlternatives — (Integer)
    The maximum number of alternatives that you tell the service to return. If you specify the MaxAlternatives field, you must set the ShowAlternatives field to true.
  - VocabularyName — (String)
    The name of the vocabulary to use when processing a medical transcription job.
- Specialty — (String)
  The medical specialty of any clinician speaking in the input media.
  Possible values include:
  - "PRIMARYCARE"
- Type — (String)
  The type of speech in the input audio. CONVERSATION refers to conversations between two or more speakers, e.g., a conversations between doctors and patients. DICTATION refers to single-speaker dictated speech, e.g., for clinical notes.
  Possible values include:
  - "CONVERSATION"
  - "DICTATION"

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - MedicalTranscriptionJob — (map)
    A batch job submitted to transcribe medical speech to text.
    
    MedicalTranscriptionJobName — (String)
    The name for a given medical transcription job.
    
    TranscriptionJobStatus — (String)
    The completion status of a medical transcription job.
    Possible values include:
    
    "QUEUED"
    
    "IN_PROGRESS"
    
    "FAILED"
    
    "COMPLETED"
    
    LanguageCode — (String)
    The language code for the language spoken in the source audio file. US English (en-US) is the only supported language for medical transcriptions. Any other value you enter for language code results in a BadRequestException error.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
    
    MediaSampleRateHertz — (Integer)
    The sample rate, in Hertz, of the source audio containing medical information.
    
    If you don't specify the sample rate, Amazon Transcribe Medical determines it for you. If you choose to specify the sample rate, it must match the rate detected by Amazon Transcribe Medical. In most cases, you should leave the MediaSampleHertz blank and let Amazon Transcribe Medical determine the sample rate.
    
    MediaFormat — (String)
    The format of the input media file.
    Possible values include:
    
    "mp3"
    
    "mp4"
    
    "wav"
    
    "flac"
    
    "ogg"
    
    "amr"
    
    "webm"
    
    Media — (map)
    Describes the input media file in a transcription request.
    
    MediaFileUri — (String)
    The S3 object location of the input media file. The URI must be in the same region as the API endpoint that you are calling. The general form is:
    
    For example:
    
    For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.
    
    Transcript — (map)
    An object that contains the MedicalTranscript. The MedicalTranscript contains the TranscriptFileUri.
    
    TranscriptFileUri — (String)
    The S3 object location of the medical transcript.
    
    Use this URI to access the medical transcript. This URI points to the S3 bucket you created to store the medical transcript.
    
    StartTime — (Date)
    A timestamp that shows when the job started processing.
    
    CreationTime — (Date)
    A timestamp that shows when the job was created.
    
    CompletionTime — (Date)
    A timestamp that shows when the job was completed.
    
    FailureReason — (String)
    If the TranscriptionJobStatus field is FAILED, this field contains information about why the job failed.
    
    The FailureReason field contains one of the following values:
    
    Unsupported media format- The media format specified in the MediaFormat field of the request isn't valid. See the description of the MediaFormat field for a list of valid values.
    
    The media format provided does not match the detected media format- The media format of the audio file doesn't match the format specified in the MediaFormat field in the request. Check the media format of your media file and make sure the two values match.
    
    Invalid sample rate for audio file- The sample rate specified in the MediaSampleRateHertz of the request isn't valid. The sample rate must be between 8000 and 48000 Hertz.
    
    The sample rate provided does not match the detected sample rate- The sample rate in the audio file doesn't match the sample rate specified in the MediaSampleRateHertz field in the request. Check the sample rate of your media file and make sure that the two values match.
    
    Invalid file size: file size too large- The size of your audio file is larger than what Amazon Transcribe Medical can process. For more information, see Guidelines and Quotas in the Amazon Transcribe Medical Guide
    
    Invalid number of channels: number of channels too large- Your audio contains more channels than Amazon Transcribe Medical is configured to process. To request additional channels, see Amazon Transcribe Medical Endpoints and Quotas in the Amazon Web Services General Reference
    
    Settings — (map)
    Object that contains object.
    
    ShowSpeakerLabels — (Boolean)
    Determines whether the transcription job uses speaker recognition to identify different speakers in the input audio. Speaker recognition labels individual speakers in the audio file. If you set the ShowSpeakerLabels field to true, you must also set the maximum number of speaker labels in the MaxSpeakerLabels field.
    
    You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException.
    
    MaxSpeakerLabels — (Integer)
    The maximum number of speakers to identify in the input audio. If there are more speakers in the audio than this number, multiple speakers are identified as a single speaker. If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.
    
    ChannelIdentification — (Boolean)
    Instructs Amazon Transcribe Medical to process each audio channel separately and then merge the transcription output of each channel into a single transcription.
    
    Amazon Transcribe Medical also produces a transcription of each item detected on an audio channel, including the start time and end time of the item and alternative transcriptions of item. The alternative transcriptions also come with confidence scores provided by Amazon Transcribe Medical.
    
    You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException
    
    ShowAlternatives — (Boolean)
    Determines whether alternative transcripts are generated along with the transcript that has the highest confidence. If you set ShowAlternatives field to true, you must also set the maximum number of alternatives to return in the MaxAlternatives field.
    
    MaxAlternatives — (Integer)
    The maximum number of alternatives that you tell the service to return. If you specify the MaxAlternatives field, you must set the ShowAlternatives field to true.
    
    VocabularyName — (String)
    The name of the vocabulary to use when processing a medical transcription job.
    
    Specialty — (String)
    The medical specialty of any clinicians providing a dictation or having a conversation. PRIMARYCARE is the only available setting for this object. This specialty enables you to generate transcriptions for the following medical fields:
    
    Family Medicine
    
    Possible values include:
    
    "PRIMARYCARE"
    
    Type — (String)
    The type of speech in the transcription job. CONVERSATION is generally used for patient-physician dialogues. DICTATION is the setting for physicians speaking their notes after seeing a patient. For more information, see how-it-works-med
    Possible values include:
    
    "CONVERSATION"
    
    "DICTATION"

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

startTranscriptionJob(params = {}, callback) ⇒ `AWS.Request`

Starts an asynchronous job to transcribe speech to text.

Service Reference:

StartTranscriptionJob

Examples:

Calling the startTranscriptionJob operation

var params = {
  Media: { /* required */
    MediaFileUri: 'STRING_VALUE'
  },
  TranscriptionJobName: 'STRING_VALUE', /* required */
  ContentRedaction: {
    RedactionOutput: redacted | redacted_and_unredacted, /* required */
    RedactionType: PII /* required */
  },
  IdentifyLanguage: true || false,
  JobExecutionSettings: {
    AllowDeferredExecution: true || false,
    DataAccessRoleArn: 'STRING_VALUE'
  },
  LanguageCode: af-ZA | ar-AE | ar-SA | cy-GB | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | ga-IE | gd-GB | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN,
  LanguageOptions: [
    af-ZA | ar-AE | ar-SA | cy-GB | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | ga-IE | gd-GB | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN,
    /* more items */
  ],
  MediaFormat: mp3 | mp4 | wav | flac | ogg | amr | webm,
  MediaSampleRateHertz: 'NUMBER_VALUE',
  ModelSettings: {
    LanguageModelName: 'STRING_VALUE'
  },
  OutputBucketName: 'STRING_VALUE',
  OutputEncryptionKMSKeyId: 'STRING_VALUE',
  OutputKey: 'STRING_VALUE',
  Settings: {
    ChannelIdentification: true || false,
    MaxAlternatives: 'NUMBER_VALUE',
    MaxSpeakerLabels: 'NUMBER_VALUE',
    ShowAlternatives: true || false,
    ShowSpeakerLabels: true || false,
    VocabularyFilterMethod: remove | mask,
    VocabularyFilterName: 'STRING_VALUE',
    VocabularyName: 'STRING_VALUE'
  }
};
transcribeservice.startTranscriptionJob(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- TranscriptionJobName — (String)
  The name of the job. You can't use the strings "." or ".." by themselves as the job name. The name must also be unique within an AWS account. If you try to create a transcription job with the same name as a previous transcription job, you get a ConflictException error.
- LanguageCode — (String)
  The language code for the language used in the input media file.
  Possible values include:
  - "af-ZA"
  - "ar-AE"
  - "ar-SA"
  - "cy-GB"
  - "da-DK"
  - "de-CH"
  - "de-DE"
  - "en-AB"
  - "en-AU"
  - "en-GB"
  - "en-IE"
  - "en-IN"
  - "en-US"
  - "en-WL"
  - "es-ES"
  - "es-US"
  - "fa-IR"
  - "fr-CA"
  - "fr-FR"
  - "ga-IE"
  - "gd-GB"
  - "he-IL"
  - "hi-IN"
  - "id-ID"
  - "it-IT"
  - "ja-JP"
  - "ko-KR"
  - "ms-MY"
  - "nl-NL"
  - "pt-BR"
  - "pt-PT"
  - "ru-RU"
  - "ta-IN"
  - "te-IN"
  - "tr-TR"
  - "zh-CN"
- MediaSampleRateHertz — (Integer)
  The sample rate, in Hertz, of the audio track in the input media file.
  
  If you do not specify the media sample rate, Amazon Transcribe determines the sample rate. If you specify the sample rate, it must match the sample rate detected by Amazon Transcribe. In most cases, you should leave the MediaSampleRateHertz field blank and let Amazon Transcribe determine the sample rate.
- MediaFormat — (String)
  The format of the input media file.
  Possible values include:
  - "mp3"
  - "mp4"
  - "wav"
  - "flac"
  - "ogg"
  - "amr"
  - "webm"
- Media — (map)
  An object that describes the input media for a transcription job.
  - MediaFileUri — (String)
    The S3 object location of the input media file. The URI must be in the same region as the API endpoint that you are calling. The general form is:
    
    For example:
    
    For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.
- OutputBucketName — (String)
  The location where the transcription is stored.
  
  If you set the OutputBucketName, Amazon Transcribe puts the transcript in the specified S3 bucket. When you call the GetTranscriptionJob operation, the operation returns this location in the TranscriptFileUri field. If you enable content redaction, the redacted transcript appears in RedactedTranscriptFileUri. If you enable content redaction and choose to output an unredacted transcript, that transcript's location still appears in the TranscriptFileUri. The S3 bucket must have permissions that allow Amazon Transcribe to put files in the bucket. For more information, see Permissions Required for IAM User Roles.
  
  You can specify an AWS Key Management Service (KMS) key to encrypt the output of your transcription using the OutputEncryptionKMSKeyId parameter. If you don't specify a KMS key, Amazon Transcribe uses the default Amazon S3 key for server-side encryption of transcripts that are placed in your S3 bucket.
  
  If you don't set the OutputBucketName, Amazon Transcribe generates a pre-signed URL, a shareable URL that provides secure access to your transcription, and returns it in the TranscriptFileUri field. Use this URL to download the transcription.
- OutputKey — (String)
  You can specify a location in an Amazon S3 bucket to store the output of your transcription job.
  
  If you don't specify an output key, Amazon Transcribe stores the output of your transcription job in the Amazon S3 bucket you specified. By default, the object key is "your-transcription-job-name.json".
  
  You can use output keys to specify the Amazon S3 prefix and file name of the transcription output. For example, specifying the Amazon S3 prefix, "folder1/folder2/", as an output key would lead to the output being stored as "folder1/folder2/your-transcription-job-name.json". If you specify "my-other-job-name.json" as the output key, the object key is changed to "my-other-job-name.json". You can use an output key to change both the prefix and the file name, for example "folder/my-other-job-name.json".
  
  If you specify an output key, you must also specify an S3 bucket in the OutputBucketName parameter.
- OutputEncryptionKMSKeyId — (String)
  The Amazon Resource Name (ARN) of the AWS Key Management Service (KMS) key used to encrypt the output of the transcription job. The user calling the StartTranscriptionJob operation must have permission to use the specified KMS key.
  
  You can use either of the following to identify a KMS key in the current account:
  - KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
  - KMS Key Alias: "alias/ExampleAlias"
  You can use either of the following to identify a KMS key in the current account or another account:
  - Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:region:account ID:key/1234abcd-12ab-34cd-56ef-1234567890ab"
  - ARN of a KMS Key Alias: "arn:aws:kms:region:account ID:alias/ExampleAlias"
  If you don't specify an encryption key, the output of the transcription job is encrypted with the default Amazon S3 key (SSE-S3).
  
  If you specify a KMS key to encrypt your output, you must also specify an output location in the OutputBucketName parameter.
- Settings — (map)
  A Settings object that provides optional settings for a transcription job.
  - VocabularyName — (String)
    The name of a vocabulary to use when processing the transcription job.
  - ShowSpeakerLabels — (Boolean)
    Determines whether the transcription job uses speaker recognition to identify different speakers in the input audio. Speaker recognition labels individual speakers in the audio file. If you set the ShowSpeakerLabels field to true, you must also set the maximum number of speaker labels MaxSpeakerLabels field.
    
    You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException.
  - MaxSpeakerLabels — (Integer)
    The maximum number of speakers to identify in the input audio. If there are more speakers in the audio than this number, multiple speakers are identified as a single speaker. If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.
  - ChannelIdentification — (Boolean)
    Instructs Amazon Transcribe to process each audio channel separately and then merge the transcription output of each channel into a single transcription.
    
    Amazon Transcribe also produces a transcription of each item detected on an audio channel, including the start time and end time of the item and alternative transcriptions of the item including the confidence that Amazon Transcribe has in the transcription.
    
    You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException.
  - ShowAlternatives — (Boolean)
    Determines whether the transcription contains alternative transcriptions. If you set the ShowAlternatives field to true, you must also set the maximum number of alternatives to return in the MaxAlternatives field.
  - MaxAlternatives — (Integer)
    The number of alternative transcriptions that the service should return. If you specify the MaxAlternatives field, you must set the ShowAlternatives field to true.
  - VocabularyFilterName — (String)
    The name of the vocabulary filter to use when transcribing the audio. The filter that you specify must have the same language code as the transcription job.
  - VocabularyFilterMethod — (String)
    Set to mask to remove filtered text from the transcript and replace it with three asterisks ("***") as placeholder text. Set to remove to remove filtered text from the transcript without using placeholder text.
    Possible values include:
    - "remove"
    - "mask"
- ModelSettings — (map)
  Choose the custom language model you use for your transcription job in this parameter.
  - LanguageModelName — (String)
    The name of your custom language model.
- JobExecutionSettings — (map)
  Provides information about how a transcription job is executed. Use this field to indicate that the job can be queued for deferred execution if the concurrency limit is reached and there are no slots available to immediately run the job.
  - AllowDeferredExecution — (Boolean)
    Indicates whether a job should be queued by Amazon Transcribe when the concurrent execution limit is exceeded. When the AllowDeferredExecution field is true, jobs are queued and executed when the number of executing jobs falls below the concurrent execution limit. If the field is false, Amazon Transcribe returns a LimitExceededException exception.
    
    If you specify the AllowDeferredExecution field, you must specify the DataAccessRoleArn field.
  - DataAccessRoleArn — (String)
    The Amazon Resource Name (ARN) of a role that has access to the S3 bucket that contains the input files. Amazon Transcribe assumes this role to read queued media files. If you have specified an output S3 bucket for the transcription results, this role should have access to the output bucket as well.
    
    If you specify the AllowDeferredExecution field, you must specify the DataAccessRoleArn field.
- ContentRedaction — (map)
  An object that contains the request parameters for content redaction.
  - RedactionType — required — (String)
    Request parameter that defines the entities to be redacted. The only accepted value is PII.
    Possible values include:
    - "PII"
  - RedactionOutput — required — (String)
    The output transcript file stored in either the default S3 bucket or in a bucket you specify.
    
    When you choose redacted Amazon Transcribe outputs only the redacted transcript.
    
    When you choose redacted_and_unredacted Amazon Transcribe outputs both the redacted and unredacted transcripts.
    Possible values include:
    - "redacted"
    - "redacted_and_unredacted"
- IdentifyLanguage — (Boolean)
  Set this field to true to enable automatic language identification. Automatic language identification is disabled by default. You receive a BadRequestException error if you enter a value for a LanguageCode.
- LanguageOptions — (Array<String>)
  An object containing a list of languages that might be present in your collection of audio files. Automatic language identification chooses a language that best matches the source audio from that list.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - TranscriptionJob — (map)
    An object containing details of the asynchronous transcription job.
    
    TranscriptionJobName — (String)
    The name of the transcription job.
    
    TranscriptionJobStatus — (String)
    The status of the transcription job.
    Possible values include:
    
    "QUEUED"
    
    "IN_PROGRESS"
    
    "FAILED"
    
    "COMPLETED"
    
    LanguageCode — (String)
    The language code for the input speech.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
    
    MediaSampleRateHertz — (Integer)
    The sample rate, in Hertz, of the audio track in the input media file.
    
    MediaFormat — (String)
    The format of the input media file.
    Possible values include:
    
    "mp3"
    
    "mp4"
    
    "wav"
    
    "flac"
    
    "ogg"
    
    "amr"
    
    "webm"
    
    Media — (map)
    An object that describes the input media for the transcription job.
    
    MediaFileUri — (String)
    The S3 object location of the input media file. The URI must be in the same region as the API endpoint that you are calling. The general form is:
    
    For example:
    
    For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.
    
    Transcript — (map)
    An object that describes the output of the transcription job.
    
    TranscriptFileUri — (String)
    The S3 object location of the transcript.
    
    Use this URI to access the transcript. If you specified an S3 bucket in the OutputBucketName field when you created the job, this is the URI of that bucket. If you chose to store the transcript in Amazon Transcribe, this is a shareable URL that provides secure access to that location.
    
    RedactedTranscriptFileUri — (String)
    The S3 object location of the redacted transcript.
    
    Use this URI to access the redacted transcript. If you specified an S3 bucket in the OutputBucketName field when you created the job, this is the URI of that bucket. If you chose to store the transcript in Amazon Transcribe, this is a shareable URL that provides secure access to that location.
    
    StartTime — (Date)
    A timestamp that shows with the job was started processing.
    
    CreationTime — (Date)
    A timestamp that shows when the job was created.
    
    CompletionTime — (Date)
    A timestamp that shows when the job was completed.
    
    FailureReason — (String)
    If the TranscriptionJobStatus field is FAILED, this field contains information about why the job failed.
    
    The FailureReason field can contain one of the following values:
    
    Unsupported media format - The media format specified in the MediaFormat field of the request isn't valid. See the description of the MediaFormat field for a list of valid values.
    
    The media format provided does not match the detected media format - The media format of the audio file doesn't match the format specified in the MediaFormat field in the request. Check the media format of your media file and make sure that the two values match.
    
    Invalid sample rate for audio file - The sample rate specified in the MediaSampleRateHertz of the request isn't valid. The sample rate must be between 8000 and 48000 Hertz.
    
    The sample rate provided does not match the detected sample rate - The sample rate in the audio file doesn't match the sample rate specified in the MediaSampleRateHertz field in the request. Check the sample rate of your media file and make sure that the two values match.
    
    Invalid file size: file size too large - The size of your audio file is larger than Amazon Transcribe can process. For more information, see Limits in the Amazon Transcribe Developer Guide.
    
    Invalid number of channels: number of channels too large - Your audio contains more channels than Amazon Transcribe is configured to process. To request additional channels, see Amazon Transcribe Limits in the Amazon Web Services General Reference.
    
    Settings — (map)
    Optional settings for the transcription job. Use these settings to turn on speaker recognition, to set the maximum number of speakers that should be identified and to specify a custom vocabulary to use when processing the transcription job.
    
    VocabularyName — (String)
    The name of a vocabulary to use when processing the transcription job.
    
    ShowSpeakerLabels — (Boolean)
    Determines whether the transcription job uses speaker recognition to identify different speakers in the input audio. Speaker recognition labels individual speakers in the audio file. If you set the ShowSpeakerLabels field to true, you must also set the maximum number of speaker labels MaxSpeakerLabels field.
    
    You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException.
    
    MaxSpeakerLabels — (Integer)
    The maximum number of speakers to identify in the input audio. If there are more speakers in the audio than this number, multiple speakers are identified as a single speaker. If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.
    
    ChannelIdentification — (Boolean)
    Instructs Amazon Transcribe to process each audio channel separately and then merge the transcription output of each channel into a single transcription.
    
    Amazon Transcribe also produces a transcription of each item detected on an audio channel, including the start time and end time of the item and alternative transcriptions of the item including the confidence that Amazon Transcribe has in the transcription.
    
    You can't set both ShowSpeakerLabels and ChannelIdentification in the same request. If you set both, your request returns a BadRequestException.
    
    ShowAlternatives — (Boolean)
    Determines whether the transcription contains alternative transcriptions. If you set the ShowAlternatives field to true, you must also set the maximum number of alternatives to return in the MaxAlternatives field.
    
    MaxAlternatives — (Integer)
    The number of alternative transcriptions that the service should return. If you specify the MaxAlternatives field, you must set the ShowAlternatives field to true.
    
    VocabularyFilterName — (String)
    The name of the vocabulary filter to use when transcribing the audio. The filter that you specify must have the same language code as the transcription job.
    
    VocabularyFilterMethod — (String)
    Set to mask to remove filtered text from the transcript and replace it with three asterisks ("***") as placeholder text. Set to remove to remove filtered text from the transcript without using placeholder text.
    Possible values include:
    
    "remove"
    
    "mask"
    
    ModelSettings — (map)
    An object containing the details of your custom language model.
    
    LanguageModelName — (String)
    The name of your custom language model.
    
    JobExecutionSettings — (map)
    Provides information about how a transcription job is executed.
    
    AllowDeferredExecution — (Boolean)
    Indicates whether a job should be queued by Amazon Transcribe when the concurrent execution limit is exceeded. When the AllowDeferredExecution field is true, jobs are queued and executed when the number of executing jobs falls below the concurrent execution limit. If the field is false, Amazon Transcribe returns a LimitExceededException exception.
    
    If you specify the AllowDeferredExecution field, you must specify the DataAccessRoleArn field.
    
    DataAccessRoleArn — (String)
    The Amazon Resource Name (ARN) of a role that has access to the S3 bucket that contains the input files. Amazon Transcribe assumes this role to read queued media files. If you have specified an output S3 bucket for the transcription results, this role should have access to the output bucket as well.
    
    If you specify the AllowDeferredExecution field, you must specify the DataAccessRoleArn field.
    
    ContentRedaction — (map)
    An object that describes content redaction settings for the transcription job.
    
    RedactionType — required — (String)
    Request parameter that defines the entities to be redacted. The only accepted value is PII.
    Possible values include:
    
    "PII"
    
    RedactionOutput — required — (String)
    The output transcript file stored in either the default S3 bucket or in a bucket you specify.
    
    When you choose redacted Amazon Transcribe outputs only the redacted transcript.
    
    When you choose redacted_and_unredacted Amazon Transcribe outputs both the redacted and unredacted transcripts.
    Possible values include:
    
    "redacted"
    
    "redacted_and_unredacted"
    
    IdentifyLanguage — (Boolean)
    A value that shows if automatic language identification was enabled for a transcription job.
    
    LanguageOptions — (Array<String>)
    An object that shows the optional array of languages inputted for transcription jobs with automatic language identification enabled.
    
    IdentifiedLanguageScore — (Float)
    A value between zero and one that Amazon Transcribe assigned to the language that it identified in the source audio. Larger values indicate that Amazon Transcribe has higher confidence in the language it identified.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

updateMedicalVocabulary(params = {}, callback) ⇒ `AWS.Request`

Updates a vocabulary with new values that you provide in a different text file from the one you used to create the vocabulary. The UpdateMedicalVocabulary operation overwrites all of the existing information with the values that you provide in the request.

Service Reference:

UpdateMedicalVocabulary

Examples:

Calling the updateMedicalVocabulary operation

var params = {
  LanguageCode: af-ZA | ar-AE | ar-SA | cy-GB | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | ga-IE | gd-GB | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN, /* required */
  VocabularyName: 'STRING_VALUE', /* required */
  VocabularyFileUri: 'STRING_VALUE'
};
transcribeservice.updateMedicalVocabulary(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- VocabularyName — (String)
  The name of the vocabulary to update. The name is case sensitive. If you try to update a vocabulary with the same name as a vocabulary you've already made, you get a ConflictException error.
- LanguageCode — (String)
  The language code of the language used for the entries in the updated vocabulary. US English (en-US) is the only valid language code in Amazon Transcribe Medical.
  Possible values include:
  - "af-ZA"
  - "ar-AE"
  - "ar-SA"
  - "cy-GB"
  - "da-DK"
  - "de-CH"
  - "de-DE"
  - "en-AB"
  - "en-AU"
  - "en-GB"
  - "en-IE"
  - "en-IN"
  - "en-US"
  - "en-WL"
  - "es-ES"
  - "es-US"
  - "fa-IR"
  - "fr-CA"
  - "fr-FR"
  - "ga-IE"
  - "gd-GB"
  - "he-IL"
  - "hi-IN"
  - "id-ID"
  - "it-IT"
  - "ja-JP"
  - "ko-KR"
  - "ms-MY"
  - "nl-NL"
  - "pt-BR"
  - "pt-PT"
  - "ru-RU"
  - "ta-IN"
  - "te-IN"
  - "tr-TR"
  - "zh-CN"
- VocabularyFileUri — (String)
  The location in Amazon S3 of the text file that contains the you use for your custom vocabulary. The URI must be in the same AWS Region as the resource that you are calling. The following is the format for a URI:
  
  https://s3.<aws-region>.amazonaws.com/<bucket-name>/<keyprefix>/<objectkey>
  
  For example:
  
  https://s3.us-east-1.amazonaws.com/AWSDOC-EXAMPLE-BUCKET/vocab.txt
  
  For more information about Amazon S3 object names, see Object Keys in the Amazon S3 Developer Guide.
  
  For more information about custom vocabularies in Amazon Transcribe Medical, see Medical Custom Vocabularies.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - VocabularyName — (String)
    The name of the updated vocabulary.
  - LanguageCode — (String)
    The language code for the language of the text file used to update the custom vocabulary. US English (en-US) is the only language supported in Amazon Transcribe Medical.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
  - LastModifiedTime — (Date)
    The date and time that the vocabulary was updated.
  - VocabularyState — (String)
    The processing state of the update to the vocabulary. When the VocabularyState field is READY, the vocabulary is ready to be used in a StartMedicalTranscriptionJob request.
    Possible values include:
    
    "PENDING"
    
    "READY"
    
    "FAILED"

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

updateVocabulary(params = {}, callback) ⇒ `AWS.Request`

Updates an existing vocabulary with new values. The UpdateVocabulary operation overwrites all of the existing information with the values that you provide in the request.

Service Reference:

UpdateVocabulary

Examples:

Calling the updateVocabulary operation

var params = {
  LanguageCode: af-ZA | ar-AE | ar-SA | cy-GB | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | ga-IE | gd-GB | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN, /* required */
  VocabularyName: 'STRING_VALUE', /* required */
  Phrases: [
    'STRING_VALUE',
    /* more items */
  ],
  VocabularyFileUri: 'STRING_VALUE'
};
transcribeservice.updateVocabulary(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- VocabularyName — (String)
  The name of the vocabulary to update. The name is case sensitive. If you try to update a vocabulary with the same name as a previous vocabulary you will receive a ConflictException error.
- LanguageCode — (String)
  The language code of the vocabulary entries.
  Possible values include:
  - "af-ZA"
  - "ar-AE"
  - "ar-SA"
  - "cy-GB"
  - "da-DK"
  - "de-CH"
  - "de-DE"
  - "en-AB"
  - "en-AU"
  - "en-GB"
  - "en-IE"
  - "en-IN"
  - "en-US"
  - "en-WL"
  - "es-ES"
  - "es-US"
  - "fa-IR"
  - "fr-CA"
  - "fr-FR"
  - "ga-IE"
  - "gd-GB"
  - "he-IL"
  - "hi-IN"
  - "id-ID"
  - "it-IT"
  - "ja-JP"
  - "ko-KR"
  - "ms-MY"
  - "nl-NL"
  - "pt-BR"
  - "pt-PT"
  - "ru-RU"
  - "ta-IN"
  - "te-IN"
  - "tr-TR"
  - "zh-CN"
- Phrases — (Array<String>)
  An array of strings containing the vocabulary entries.
- VocabularyFileUri — (String)
  The S3 location of the text file that contains the definition of the custom vocabulary. The URI must be in the same region as the API endpoint that you are calling. The general form is
  
  For example:
  
  For more information about S3 object names, see Object Keys in the Amazon S3 Developer Guide.
  
  For more information about custom vocabularies, see Custom Vocabularies.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - VocabularyName — (String)
    The name of the vocabulary that was updated.
  - LanguageCode — (String)
    The language code of the vocabulary entries.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
  - LastModifiedTime — (Date)
    The date and time that the vocabulary was updated.
  - VocabularyState — (String)
    The processing state of the vocabulary. When the VocabularyState field contains READY the vocabulary is ready to be used in a StartTranscriptionJob request.
    Possible values include:
    
    "PENDING"
    
    "READY"
    
    "FAILED"

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

updateVocabularyFilter(params = {}, callback) ⇒ `AWS.Request`

Updates a vocabulary filter with a new list of filtered words.

Service Reference:

UpdateVocabularyFilter

Examples:

Calling the updateVocabularyFilter operation

var params = {
  VocabularyFilterName: 'STRING_VALUE', /* required */
  VocabularyFilterFileUri: 'STRING_VALUE',
  Words: [
    'STRING_VALUE',
    /* more items */
  ]
};
transcribeservice.updateVocabularyFilter(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

params (Object) (defaults to: {}) —
- VocabularyFilterName — (String)
  The name of the vocabulary filter to update. If you try to update a vocabulary filter with the same name as another vocabulary filter, you get a ConflictException error.
- Words — (Array<String>)
  The words to use in the vocabulary filter. Only use characters from the character set defined for custom vocabularies. For a list of character sets, see Character Sets for Custom Vocabularies.
  
  If you provide a list of words in the Words parameter, you can't use the VocabularyFilterFileUri parameter.
- VocabularyFilterFileUri — (String)
  The Amazon S3 location of a text file used as input to create the vocabulary filter. Only use characters from the character set defined for custom vocabularies. For a list of character sets, see Character Sets for Custom Vocabularies.
  
  The specified file must be less than 50 KB of UTF-8 characters.
  
  If you provide the location of a list of words in the VocabularyFilterFileUri parameter, you can't use the Words parameter.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
- (AWS.Response) —
  the response object containing error, data properties, and the original request object.
Parameters:
- err (Error) —
  the error object returned from the request. Set to null if the request is successful.
- data (Object) —
  the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:
  - VocabularyFilterName — (String)
    The name of the updated vocabulary filter.
  - LanguageCode — (String)
    The language code of the words in the vocabulary filter.
    Possible values include:
    
    "af-ZA"
    
    "ar-AE"
    
    "ar-SA"
    
    "cy-GB"
    
    "da-DK"
    
    "de-CH"
    
    "de-DE"
    
    "en-AB"
    
    "en-AU"
    
    "en-GB"
    
    "en-IE"
    
    "en-IN"
    
    "en-US"
    
    "en-WL"
    
    "es-ES"
    
    "es-US"
    
    "fa-IR"
    
    "fr-CA"
    
    "fr-FR"
    
    "ga-IE"
    
    "gd-GB"
    
    "he-IL"
    
    "hi-IN"
    
    "id-ID"
    
    "it-IT"
    
    "ja-JP"
    
    "ko-KR"
    
    "ms-MY"
    
    "nl-NL"
    
    "pt-BR"
    
    "pt-PT"
    
    "ru-RU"
    
    "ta-IN"
    
    "te-IN"
    
    "tr-TR"
    
    "zh-CN"
  - LastModifiedTime — (Date)
    The date and time that the vocabulary filter was updated.

Returns:

(AWS.Request) —
a handle to the operation request for subsequent event callback registration.

Class: AWS.TranscribeService

Overview

Service Description

Sending a Request Using TranscribeService

Locking the API Version

Constructor Summary collapse

Property Summary collapse

Properties inherited from AWS.Service

Method Summary collapse

Methods inherited from AWS.Service

Constructor Details

new AWS.TranscribeService(options = {}) ⇒ Object

Property Details

endpoint ⇒ AWS.Endpoint (readwrite)

Method Details

createLanguageModel(params = {}, callback) ⇒ AWS.Request

createMedicalVocabulary(params = {}, callback) ⇒ AWS.Request

createVocabulary(params = {}, callback) ⇒ AWS.Request

createVocabularyFilter(params = {}, callback) ⇒ AWS.Request

deleteLanguageModel(params = {}, callback) ⇒ AWS.Request

deleteMedicalTranscriptionJob(params = {}, callback) ⇒ AWS.Request

deleteMedicalVocabulary(params = {}, callback) ⇒ AWS.Request

deleteTranscriptionJob(params = {}, callback) ⇒ AWS.Request

deleteVocabulary(params = {}, callback) ⇒ AWS.Request

deleteVocabularyFilter(params = {}, callback) ⇒ AWS.Request

describeLanguageModel(params = {}, callback) ⇒ AWS.Request

getMedicalTranscriptionJob(params = {}, callback) ⇒ AWS.Request

getMedicalVocabulary(params = {}, callback) ⇒ AWS.Request

getTranscriptionJob(params = {}, callback) ⇒ AWS.Request

getVocabulary(params = {}, callback) ⇒ AWS.Request

getVocabularyFilter(params = {}, callback) ⇒ AWS.Request

listLanguageModels(params = {}, callback) ⇒ AWS.Request

listMedicalTranscriptionJobs(params = {}, callback) ⇒ AWS.Request

listMedicalVocabularies(params = {}, callback) ⇒ AWS.Request

listTranscriptionJobs(params = {}, callback) ⇒ AWS.Request

listVocabularies(params = {}, callback) ⇒ AWS.Request

listVocabularyFilters(params = {}, callback) ⇒ AWS.Request

startMedicalTranscriptionJob(params = {}, callback) ⇒ AWS.Request

startTranscriptionJob(params = {}, callback) ⇒ AWS.Request

updateMedicalVocabulary(params = {}, callback) ⇒ AWS.Request

updateVocabulary(params = {}, callback) ⇒ AWS.Request

updateVocabularyFilter(params = {}, callback) ⇒ AWS.Request

new AWS.TranscribeService(options = {}) ⇒ `Object`

endpoint ⇒ `AWS.Endpoint` (readwrite)

createLanguageModel(params = {}, callback) ⇒ `AWS.Request`

createMedicalVocabulary(params = {}, callback) ⇒ `AWS.Request`

createVocabulary(params = {}, callback) ⇒ `AWS.Request`

createVocabularyFilter(params = {}, callback) ⇒ `AWS.Request`

deleteLanguageModel(params = {}, callback) ⇒ `AWS.Request`

deleteMedicalTranscriptionJob(params = {}, callback) ⇒ `AWS.Request`

deleteMedicalVocabulary(params = {}, callback) ⇒ `AWS.Request`

deleteTranscriptionJob(params = {}, callback) ⇒ `AWS.Request`

deleteVocabulary(params = {}, callback) ⇒ `AWS.Request`

deleteVocabularyFilter(params = {}, callback) ⇒ `AWS.Request`

describeLanguageModel(params = {}, callback) ⇒ `AWS.Request`

getMedicalTranscriptionJob(params = {}, callback) ⇒ `AWS.Request`

getMedicalVocabulary(params = {}, callback) ⇒ `AWS.Request`

getTranscriptionJob(params = {}, callback) ⇒ `AWS.Request`

getVocabulary(params = {}, callback) ⇒ `AWS.Request`

getVocabularyFilter(params = {}, callback) ⇒ `AWS.Request`

listLanguageModels(params = {}, callback) ⇒ `AWS.Request`

listMedicalTranscriptionJobs(params = {}, callback) ⇒ `AWS.Request`

listMedicalVocabularies(params = {}, callback) ⇒ `AWS.Request`

listTranscriptionJobs(params = {}, callback) ⇒ `AWS.Request`

listVocabularies(params = {}, callback) ⇒ `AWS.Request`

listVocabularyFilters(params = {}, callback) ⇒ `AWS.Request`

startMedicalTranscriptionJob(params = {}, callback) ⇒ `AWS.Request`

startTranscriptionJob(params = {}, callback) ⇒ `AWS.Request`

updateMedicalVocabulary(params = {}, callback) ⇒ `AWS.Request`

updateVocabulary(params = {}, callback) ⇒ `AWS.Request`

updateVocabularyFilter(params = {}, callback) ⇒ `AWS.Request`