SpeechToText (parent 6.10.0 API)

java.lang.Object
- com.ibm.watson.developer_cloud.service.WatsonService
- - com.ibm.watson.developer_cloud.speech_to_text.v1.SpeechToText

```
public class SpeechToText
extends WatsonService
```
The IBM® Speech to Text service provides APIs that use IBM's speech-recognition capabilities to produce transcripts of spoken audio. The service can transcribe speech from various languages and audio formats. It addition to basic transcription, the service can produce detailed information about many different aspects of the audio. For most languages, the service supports two sampling rates, broadband and narrowband. It returns all JSON response content in the UTF-8 character set. For speech recognition, the service supports synchronous and asynchronous HTTP Representational State Transfer (REST) interfaces. It also supports a WebSocket interface that provides a full-duplex, low-latency communication channel: Clients send requests and audio to the service and receive results over a single connection asynchronously. The service also offers two customization interfaces. Use language model customization to expand the vocabulary of a base model with domain-specific terminology. Use acoustic model customization to adapt a base model for the acoustic characteristics of your audio. Language model customization is generally available for production use with most supported languages; acoustic model customization is beta functionality that is available for all supported languages.

See Also:
Speech to Text

Field Summary
- Fields inherited from class com.ibm.watson.developer_cloud.service.WatsonService
  defaultHeaders, JSON_MIME_PATTERN, JSON_PATCH_MIME_PATTERN, MESSAGE_CODE, MESSAGE_ERROR, skipAuthentication, VERSION

Constructor Summary

Constructors
Constructor and Description
`SpeechToText()` Instantiates a new `SpeechToText`.
`SpeechToText(IamOptions iamOptions)` Instantiates a new `SpeechToText` with IAM.
`SpeechToText(java.lang.String username, java.lang.String password)` Instantiates a new `SpeechToText` with username and password.

Method Summary

Methods
Modifier and Type	Method and Description
`ServiceCall<java.lang.Void>`	`addAudio(AddAudioOptions addAudioOptions)` Add an audio resource.
`ServiceCall<java.lang.Void>`	`addCorpus(AddCorpusOptions addCorpusOptions)` Add a corpus.
`ServiceCall<java.lang.Void>`	`addWord(AddWordOptions addWordOptions)` Add a custom word.
`ServiceCall<java.lang.Void>`	`addWords(AddWordsOptions addWordsOptions)` Add custom words.
`ServiceCall<RecognitionJob>`	`checkJob(CheckJobOptions checkJobOptions)` Check a job.
`ServiceCall<RecognitionJobs>`	`checkJobs()` Check jobs.
`ServiceCall<RecognitionJobs>`	`checkJobs(CheckJobsOptions checkJobsOptions)` Check jobs.
`ServiceCall<AcousticModel>`	`createAcousticModel(CreateAcousticModelOptions createAcousticModelOptions)` Create a custom acoustic model.
`ServiceCall<RecognitionJob>`	`createJob(CreateJobOptions createJobOptions)` Create a job.
`ServiceCall<LanguageModel>`	`createLanguageModel(CreateLanguageModelOptions createLanguageModelOptions)` Create a custom language model.
`ServiceCall<java.lang.Void>`	`deleteAcousticModel(DeleteAcousticModelOptions deleteAcousticModelOptions)` Delete a custom acoustic model.
`ServiceCall<java.lang.Void>`	`deleteAudio(DeleteAudioOptions deleteAudioOptions)` Delete an audio resource.
`ServiceCall<java.lang.Void>`	`deleteCorpus(DeleteCorpusOptions deleteCorpusOptions)` Delete a corpus.
`ServiceCall<java.lang.Void>`	`deleteJob(DeleteJobOptions deleteJobOptions)` Delete a job.
`ServiceCall<java.lang.Void>`	`deleteLanguageModel(DeleteLanguageModelOptions deleteLanguageModelOptions)` Delete a custom language model.
`ServiceCall<java.lang.Void>`	`deleteUserData(DeleteUserDataOptions deleteUserDataOptions)` Delete labeled data.
`ServiceCall<java.lang.Void>`	`deleteWord(DeleteWordOptions deleteWordOptions)` Delete a custom word.
`ServiceCall<AcousticModel>`	`getAcousticModel(GetAcousticModelOptions getAcousticModelOptions)` Get a custom acoustic model.
`ServiceCall<AudioListing>`	`getAudio(GetAudioOptions getAudioOptions)` Get an audio resource.
`ServiceCall<Corpus>`	`getCorpus(GetCorpusOptions getCorpusOptions)` Get a corpus.
`ServiceCall<LanguageModel>`	`getLanguageModel(GetLanguageModelOptions getLanguageModelOptions)` Get a custom language model.
`ServiceCall<SpeechModel>`	`getModel(GetModelOptions getModelOptions)` Get a model.
`ServiceCall<Word>`	`getWord(GetWordOptions getWordOptions)` Get a custom word.
`ServiceCall<AcousticModels>`	`listAcousticModels()` List custom acoustic models.
`ServiceCall<AcousticModels>`	`listAcousticModels(ListAcousticModelsOptions listAcousticModelsOptions)` List custom acoustic models.
`ServiceCall<AudioResources>`	`listAudio(ListAudioOptions listAudioOptions)` List audio resources.
`ServiceCall<Corpora>`	`listCorpora(ListCorporaOptions listCorporaOptions)` List corpora.
`ServiceCall<LanguageModels>`	`listLanguageModels()` List custom language models.
`ServiceCall<LanguageModels>`	`listLanguageModels(ListLanguageModelsOptions listLanguageModelsOptions)` List custom language models.
`ServiceCall<SpeechModels>`	`listModels()` List models.
`ServiceCall<SpeechModels>`	`listModels(ListModelsOptions listModelsOptions)` List models.
`ServiceCall<Words>`	`listWords(ListWordsOptions listWordsOptions)` List custom words.
`ServiceCall<SpeechRecognitionResults>`	`recognize(RecognizeOptions recognizeOptions)` Recognize audio.
`okhttp3.WebSocket`	`recognizeUsingWebSocket(RecognizeOptions recognizeOptions, RecognizeCallback callback)` Sends audio and returns transcription results for recognition requests over a WebSocket connection.
`ServiceCall<RegisterStatus>`	`registerCallback(RegisterCallbackOptions registerCallbackOptions)` Register a callback.
`ServiceCall<java.lang.Void>`	`resetAcousticModel(ResetAcousticModelOptions resetAcousticModelOptions)` Reset a custom acoustic model.
`ServiceCall<java.lang.Void>`	`resetLanguageModel(ResetLanguageModelOptions resetLanguageModelOptions)` Reset a custom language model.
`ServiceCall<java.lang.Void>`	`trainAcousticModel(TrainAcousticModelOptions trainAcousticModelOptions)` Train a custom acoustic model.
`ServiceCall<java.lang.Void>`	`trainLanguageModel(TrainLanguageModelOptions trainLanguageModelOptions)` Train a custom language model.
`ServiceCall<java.lang.Void>`	`unregisterCallback(UnregisterCallbackOptions unregisterCallbackOptions)` Unregister a callback.
`ServiceCall<java.lang.Void>`	`upgradeAcousticModel(UpgradeAcousticModelOptions upgradeAcousticModelOptions)` Upgrade a custom acoustic model.
`ServiceCall<java.lang.Void>`	`upgradeLanguageModel(UpgradeLanguageModelOptions upgradeLanguageModelOptions)` Upgrade a custom language model.

Methods inherited from class com.ibm.watson.developer_cloud.service.WatsonService
configureClient, configureHttpClient, createServiceCall, getApiKey, getEndPoint, getName, getPassword, getToken, getUsername, isJsonMimeType, isJsonPatchMimeType, isTokenManagerSet, processServiceCall, setApiKey, setAuthentication, setDefaultHeaders, setDefaultHeaders, setEndPoint, setIamCredentials, setSkipAuthentication, setUsernameAndPassword, toString

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - SpeechToText
```
public SpeechToText()
```
    Instantiates a new `SpeechToText`.
  - SpeechToText
```
public SpeechToText(java.lang.String username,
            java.lang.String password)
```
    Instantiates a new `SpeechToText` with username and password.
    
    Parameters:
    username - the username
    password - the password
  - SpeechToText
```
public SpeechToText(IamOptions iamOptions)
```
    Instantiates a new `SpeechToText` with IAM. Note that if the access token is specified in the iamOptions, you accept responsibility for managing the access token yourself. You must set a new access token before this one expires or after receiving a 401 error from the service. Failing to do so will result in authentication errors after this token expires.
    
    Parameters:
    iamOptions - the options for authenticating through IAM
- Method Detail
  - getModel
```
public ServiceCall<SpeechModel> getModel(GetModelOptions getModelOptions)
```
    Get a model. Gets information for a single specified language model that is available for use with the service. The information includes the name of the model and its minimum sampling rate in Hertz, among other things. **See also:** [Languages and models](https://cloud.ibm.com/docs/services/speech-to-text/input.html#models).
    
    Parameters:
    getModelOptions - the GetModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of SpeechModel
  - listModels
```
public ServiceCall<SpeechModels> listModels(ListModelsOptions listModelsOptions)
```
    List models. Lists all language models that are available for use with the service. The information includes the name of the model and its minimum sampling rate in Hertz, among other things. **See also:** [Languages and models](https://cloud.ibm.com/docs/services/speech-to-text/input.html#models).
    
    Parameters:
    listModelsOptions - the ListModelsOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of SpeechModels
  - listModels
```
public ServiceCall<SpeechModels> listModels()
```
    List models. Lists all language models that are available for use with the service. The information includes the name of the model and its minimum sampling rate in Hertz, among other things. **See also:** [Languages and models](https://cloud.ibm.com/docs/services/speech-to-text/input.html#models).
    
    Returns:
    a ServiceCall with a response type of SpeechModels
  - recognize
```
public ServiceCall<SpeechRecognitionResults> recognize(RecognizeOptions recognizeOptions)
```
    Recognize audio. Sends audio and returns transcription results for a recognition request. You can pass a maximum of 100 MB and a minimum of 100 bytes of audio with a request. The service automatically detects the endianness of the incoming audio and, for audio that includes multiple channels, downmixes the audio to one-channel mono during transcoding. The method returns only final results; to enable interim results, use the WebSocket API. **See also:** [Making a basic HTTP request](https://cloud.ibm.com/docs/services/speech-to-text/http.html#HTTP-basic). ### Streaming mode For requests to transcribe live audio as it becomes available, you must set the `Transfer-Encoding` header to `chunked` to use streaming mode. In streaming mode, the server closes the connection (status code 408) if the service receives no data chunk for 30 seconds and it has no audio to transcribe for 30 seconds. The server also closes the connection (status code 400) if no speech is detected for `inactivity_timeout` seconds of audio (not processing time); use the `inactivity_timeout` parameter to change the default of 30 seconds. **See also:** * [Audio transmission](https://cloud.ibm.com/docs/services/speech-to-text/input.html#transmission) * [Timeouts](https://cloud.ibm.com/docs/services/speech-to-text/input.html#timeouts) ### Audio formats (content types) The service accepts audio in the following formats (MIME types). * For formats that are labeled **Required**, you must use the `Content-Type` header with the request to specify the format of the audio. * For all other formats, you can omit the `Content-Type` header or specify `application/octet-stream` with the header to have the service automatically detect the format of the audio. (With the `curl` command, you can specify either `\"Content-Type:\"` or `\"Content-Type: application/octet-stream\"`.) Where indicated, the format that you specify must include the sampling rate and can optionally include the number of channels and the endianness of the audio. * `audio/basic` (**Required.** Use only with narrowband models.) * `audio/flac` * `audio/l16` (**Required.** Specify the sampling rate (`rate`) and optionally the number of channels (`channels`) and endianness (`endianness`) of the audio.) * `audio/mp3` * `audio/mpeg` * `audio/mulaw` (**Required.** Specify the sampling rate (`rate`) of the audio.) * `audio/ogg` (The service automatically detects the codec of the input audio.) * `audio/ogg;codecs=opus` * `audio/ogg;codecs=vorbis` * `audio/wav` (Provide audio with a maximum of nine channels.) * `audio/webm` (The service automatically detects the codec of the input audio.) * `audio/webm;codecs=opus` * `audio/webm;codecs=vorbis` **See also:** [Audio formats](https://cloud.ibm.com/docs/services/speech-to-text/audio-formats.html). ### Multipart speech recognition **Note:** The Watson SDKs do not support multipart speech recognition. The HTTP `POST` method of the service also supports multipart speech recognition. With multipart requests, you pass all audio data as multipart form data. You specify some parameters as request headers and query parameters, but you pass JSON metadata as form data to control most aspects of the transcription. The multipart approach is intended for use with browsers for which JavaScript is disabled or when the parameters used with the request are greater than the 8 KB limit imposed by most HTTP servers and proxies. You can encounter this limit, for example, if you want to spot a very large number of keywords. **See also:** [Making a multipart HTTP request](https://cloud.ibm.com/docs/services/speech-to-text/http.html#HTTP-multi).
    
    Parameters:
    recognizeOptions - the RecognizeOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of SpeechRecognitionResults
  - recognizeUsingWebSocket
```
public okhttp3.WebSocket recognizeUsingWebSocket(RecognizeOptions recognizeOptions,
                                        RecognizeCallback callback)
```
    Sends audio and returns transcription results for recognition requests over a WebSocket connection. Requests and responses are enabled over a single TCP connection that abstracts much of the complexity of the request to offer efficient implementation, low latency, high throughput, and an asynchronous response. By default, only final results are returned for any request; to enable interim results, set the interimResults parameter to true. The service imposes a data size limit of 100 MB per utterance (per recognition request). You can send multiple utterances over a single WebSocket connection. The service automatically detects the endianness of the incoming audio and, for audio that includes multiple channels, downmixes the audio to one-channel mono during transcoding. (For the audio/l16 format, you can specify the endianness.)
    
    Parameters:
    recognizeOptions - the recognize options
    callback - the RecognizeCallback instance where results will be sent
    
    Returns:
    the WebSocket
  - checkJob
```
public ServiceCall<RecognitionJob> checkJob(CheckJobOptions checkJobOptions)
```
    Check a job. Returns information about the specified job. The response always includes the status of the job and its creation and update times. If the status is `completed`, the response includes the results of the recognition request. You must submit the request with the service credentials of the user who created the job. You can use the method to retrieve the results of any job, regardless of whether it was submitted with a callback URL and the `recognitions.completed_with_results` event, and you can retrieve the results multiple times for as long as they remain available. Use the **Check jobs** method to request information about the most recent jobs associated with the caller. **See also:** [Checking the status and retrieving the results of a job](https://cloud.ibm.com/docs/services/speech-to-text/async.html#job).
    
    Parameters:
    checkJobOptions - the CheckJobOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of RecognitionJob
  - checkJobs
```
public ServiceCall<RecognitionJobs> checkJobs(CheckJobsOptions checkJobsOptions)
```
    Check jobs. Returns the ID and status of the latest 100 outstanding jobs associated with the service credentials with which it is called. The method also returns the creation and update times of each job, and, if a job was created with a callback URL and a user token, the user token for the job. To obtain the results for a job whose status is `completed` or not one of the latest 100 outstanding jobs, use the **Check a job** method. A job and its results remain available until you delete them with the **Delete a job** method or until the job's time to live expires, whichever comes first. **See also:** [Checking the status of the latest jobs](https://cloud.ibm.com/docs/services/speech-to-text/async.html#jobs).
    
    Parameters:
    checkJobsOptions - the CheckJobsOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of RecognitionJobs
  - checkJobs
```
public ServiceCall<RecognitionJobs> checkJobs()
```
    Check jobs. Returns the ID and status of the latest 100 outstanding jobs associated with the service credentials with which it is called. The method also returns the creation and update times of each job, and, if a job was created with a callback URL and a user token, the user token for the job. To obtain the results for a job whose status is `completed` or not one of the latest 100 outstanding jobs, use the **Check a job** method. A job and its results remain available until you delete them with the **Delete a job** method or until the job's time to live expires, whichever comes first. **See also:** [Checking the status of the latest jobs](https://cloud.ibm.com/docs/services/speech-to-text/async.html#jobs).
    
    Returns:
    a ServiceCall with a response type of RecognitionJobs
  - createJob
```
public ServiceCall<RecognitionJob> createJob(CreateJobOptions createJobOptions)
```
    Create a job. Creates a job for a new asynchronous recognition request. The job is owned by the user whose service credentials are used to create it. How you learn the status and results of a job depends on the parameters you include with the job creation request: * By callback notification: Include the `callback_url` parameter to specify a URL to which the service is to send callback notifications when the status of the job changes. Optionally, you can also include the `events` and `user_token` parameters to subscribe to specific events and to specify a string that is to be included with each notification for the job. * By polling the service: Omit the `callback_url`, `events`, and `user_token` parameters. You must then use the **Check jobs** or **Check a job** methods to check the status of the job, using the latter to retrieve the results when the job is complete. The two approaches are not mutually exclusive. You can poll the service for job status or obtain results from the service manually even if you include a callback URL. In both cases, you can include the `results_ttl` parameter to specify how long the results are to remain available after the job is complete. Using the HTTPS **Check a job** method to retrieve results is more secure than receiving them via callback notification over HTTP because it provides confidentiality in addition to authentication and data integrity. The method supports the same basic parameters as other HTTP and WebSocket recognition requests. It also supports the following parameters specific to the asynchronous interface: * `callback_url` * `events` * `user_token` * `results_ttl` You can pass a maximum of 100 MB and a minimum of 100 bytes of audio with a request. The service automatically detects the endianness of the incoming audio and, for audio that includes multiple channels, downmixes the audio to one-channel mono during transcoding. The method returns only final results; to enable interim results, use the WebSocket API. **See also:** [Creating a job](https://cloud.ibm.com/docs/services/speech-to-text/async.html#create). ### Streaming mode For requests to transcribe live audio as it becomes available, you must set the `Transfer-Encoding` header to `chunked` to use streaming mode. In streaming mode, the server closes the connection (status code 408) if the service receives no data chunk for 30 seconds and it has no audio to transcribe for 30 seconds. The server also closes the connection (status code 400) if no speech is detected for `inactivity_timeout` seconds of audio (not processing time); use the `inactivity_timeout` parameter to change the default of 30 seconds. **See also:** * [Audio transmission](https://cloud.ibm.com/docs/services/speech-to-text/input.html#transmission) * [Timeouts](https://cloud.ibm.com/docs/services/speech-to-text/input.html#timeouts) ### Audio formats (content types) The service accepts audio in the following formats (MIME types). * For formats that are labeled **Required**, you must use the `Content-Type` header with the request to specify the format of the audio. * For all other formats, you can omit the `Content-Type` header or specify `application/octet-stream` with the header to have the service automatically detect the format of the audio. (With the `curl` command, you can specify either `\"Content-Type:\"` or `\"Content-Type: application/octet-stream\"`.) Where indicated, the format that you specify must include the sampling rate and can optionally include the number of channels and the endianness of the audio. * `audio/basic` (**Required.** Use only with narrowband models.) * `audio/flac` * `audio/l16` (**Required.** Specify the sampling rate (`rate`) and optionally the number of channels (`channels`) and endianness (`endianness`) of the audio.) * `audio/mp3` * `audio/mpeg` * `audio/mulaw` (**Required.** Specify the sampling rate (`rate`) of the audio.) * `audio/ogg` (The service automatically detects the codec of the input audio.) * `audio/ogg;codecs=opus` * `audio/ogg;codecs=vorbis` * `audio/wav` (Provide audio with a maximum of nine channels.) * `audio/webm` (The service automatically detects the codec of the input audio.) * `audio/webm;codecs=opus` * `audio/webm;codecs=vorbis` **See also:** [Audio formats](https://cloud.ibm.com/docs/services/speech-to-text/audio-formats.html).
    
    Parameters:
    createJobOptions - the CreateJobOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of RecognitionJob
  - deleteJob
```
public ServiceCall<java.lang.Void> deleteJob(DeleteJobOptions deleteJobOptions)
```
    Delete a job. Deletes the specified job. You cannot delete a job that the service is actively processing. Once you delete a job, its results are no longer available. The service automatically deletes a job and its results when the time to live for the results expires. You must submit the request with the service credentials of the user who created the job. **See also:** [Deleting a job](https://cloud.ibm.com/docs/services/speech-to-text/async.html#delete).
    
    Parameters:
    deleteJobOptions - the DeleteJobOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - registerCallback
```
public ServiceCall<RegisterStatus> registerCallback(RegisterCallbackOptions registerCallbackOptions)
```
    Register a callback. Registers a callback URL with the service for use with subsequent asynchronous recognition requests. The service attempts to register, or white-list, the callback URL if it is not already registered by sending a `GET` request to the callback URL. The service passes a random alphanumeric challenge string via the `challenge_string` parameter of the request. The request includes an `Accept` header that specifies `text/plain` as the required response type. To be registered successfully, the callback URL must respond to the `GET` request from the service. The response must send status code 200 and must include the challenge string in its body. Set the `Content-Type` response header to `text/plain`. Upon receiving this response, the service responds to the original registration request with response code 201. The service sends only a single `GET` request to the callback URL. If the service does not receive a reply with a response code of 200 and a body that echoes the challenge string sent by the service within five seconds, it does not white-list the URL; it instead sends status code 400 in response to the **Register a callback** request. If the requested callback URL is already white-listed, the service responds to the initial registration request with response code 200. If you specify a user secret with the request, the service uses it as a key to calculate an HMAC-SHA1 signature of the challenge string in its response to the `POST` request. It sends this signature in the `X-Callback-Signature` header of its `GET` request to the URL during registration. It also uses the secret to calculate a signature over the payload of every callback notification that uses the URL. The signature provides authentication and data integrity for HTTP communications. After you successfully register a callback URL, you can use it with an indefinite number of recognition requests. You can register a maximum of 20 callback URLS in a one-hour span of time. **See also:** [Registering a callback URL](https://cloud.ibm.com/docs/services/speech-to-text/async.html#register).
    
    Parameters:
    registerCallbackOptions - the RegisterCallbackOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of RegisterStatus
  - unregisterCallback
```
public ServiceCall<java.lang.Void> unregisterCallback(UnregisterCallbackOptions unregisterCallbackOptions)
```
    Unregister a callback. Unregisters a callback URL that was previously white-listed with a **Register a callback** request for use with the asynchronous interface. Once unregistered, the URL can no longer be used with asynchronous recognition requests. **See also:** [Unregistering a callback URL](https://cloud.ibm.com/docs/services/speech-to-text/async.html#unregister).
    
    Parameters:
    unregisterCallbackOptions - the UnregisterCallbackOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - createLanguageModel
```
public ServiceCall<LanguageModel> createLanguageModel(CreateLanguageModelOptions createLanguageModelOptions)
```
    Create a custom language model. Creates a new custom language model for a specified base model. The custom language model can be used only with the base model for which it is created. The model is owned by the instance of the service whose credentials are used to create it. **See also:** [Create a custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-create.html#createModel).
    
    Parameters:
    createLanguageModelOptions - the CreateLanguageModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of LanguageModel
  - deleteLanguageModel
```
public ServiceCall<java.lang.Void> deleteLanguageModel(DeleteLanguageModelOptions deleteLanguageModelOptions)
```
    Delete a custom language model. Deletes an existing custom language model. The custom model cannot be deleted if another request, such as adding a corpus to the model, is currently being processed. You must use credentials for the instance of the service that owns a model to delete it. **See also:** [Deleting a custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-models.html#deleteModel).
    
    Parameters:
    deleteLanguageModelOptions - the DeleteLanguageModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - getLanguageModel
```
public ServiceCall<LanguageModel> getLanguageModel(GetLanguageModelOptions getLanguageModelOptions)
```
    Get a custom language model. Gets information about a specified custom language model. You must use credentials for the instance of the service that owns a model to list information about it. **See also:** [Listing custom language models](https://cloud.ibm.com/docs/services/speech-to-text/language-models.html#listModels).
    
    Parameters:
    getLanguageModelOptions - the GetLanguageModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of LanguageModel
  - listLanguageModels
```
public ServiceCall<LanguageModels> listLanguageModels(ListLanguageModelsOptions listLanguageModelsOptions)
```
    List custom language models. Lists information about all custom language models that are owned by an instance of the service. Use the `language` parameter to see all custom language models for the specified language. Omit the parameter to see all custom language models for all languages. You must use credentials for the instance of the service that owns a model to list information about it. **See also:** [Listing custom language models](https://cloud.ibm.com/docs/services/speech-to-text/language-models.html#listModels).
    
    Parameters:
    listLanguageModelsOptions - the ListLanguageModelsOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of LanguageModels
  - listLanguageModels
```
public ServiceCall<LanguageModels> listLanguageModels()
```
    List custom language models. Lists information about all custom language models that are owned by an instance of the service. Use the `language` parameter to see all custom language models for the specified language. Omit the parameter to see all custom language models for all languages. You must use credentials for the instance of the service that owns a model to list information about it. **See also:** [Listing custom language models](https://cloud.ibm.com/docs/services/speech-to-text/language-models.html#listModels).
    
    Returns:
    a ServiceCall with a response type of LanguageModels
  - resetLanguageModel
```
public ServiceCall<java.lang.Void> resetLanguageModel(ResetLanguageModelOptions resetLanguageModelOptions)
```
    Reset a custom language model. Resets a custom language model by removing all corpora and words from the model. Resetting a custom language model initializes the model to its state when it was first created. Metadata such as the name and language of the model are preserved, but the model's words resource is removed and must be re-created. You must use credentials for the instance of the service that owns a model to reset it. **See also:** [Resetting a custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-models.html#resetModel).
    
    Parameters:
    resetLanguageModelOptions - the ResetLanguageModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - trainLanguageModel
```
public ServiceCall<java.lang.Void> trainLanguageModel(TrainLanguageModelOptions trainLanguageModelOptions)
```
    Train a custom language model. Initiates the training of a custom language model with new corpora, custom words, or both. After adding, modifying, or deleting corpora or words for a custom language model, use this method to begin the actual training of the model on the latest data. You can specify whether the custom language model is to be trained with all words from its words resource or only with words that were added or modified by the user. You must use credentials for the instance of the service that owns a model to train it. The training method is asynchronous. It can take on the order of minutes to complete depending on the amount of data on which the service is being trained and the current load on the service. The method returns an HTTP 200 response code to indicate that the training process has begun. You can monitor the status of the training by using the **Get a custom language model** method to poll the model's status. Use a loop to check the status every 10 seconds. The method returns a `LanguageModel` object that includes `status` and `progress` fields. A status of `available` means that the custom model is trained and ready to use. The service cannot accept subsequent training requests, or requests to add new corpora or words, until the existing request completes. Training can fail to start for the following reasons: * The service is currently handling another request for the custom model, such as another training request or a request to add a corpus or words to the model. * No training data (corpora or words) have been added to the custom model. * One or more words that were added to the custom model have invalid sounds-like pronunciations that you must fix. **See also:** [Train the custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-create.html#trainModel).
    
    Parameters:
    trainLanguageModelOptions - the TrainLanguageModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - upgradeLanguageModel
```
public ServiceCall<java.lang.Void> upgradeLanguageModel(UpgradeLanguageModelOptions upgradeLanguageModelOptions)
```
    Upgrade a custom language model. Initiates the upgrade of a custom language model to the latest version of its base language model. The upgrade method is asynchronous. It can take on the order of minutes to complete depending on the amount of data in the custom model and the current load on the service. A custom model must be in the `ready` or `available` state to be upgraded. You must use credentials for the instance of the service that owns a model to upgrade it. The method returns an HTTP 200 response code to indicate that the upgrade process has begun successfully. You can monitor the status of the upgrade by using the **Get a custom language model** method to poll the model's status. The method returns a `LanguageModel` object that includes `status` and `progress` fields. Use a loop to check the status every 10 seconds. While it is being upgraded, the custom model has the status `upgrading`. When the upgrade is complete, the model resumes the status that it had prior to upgrade. The service cannot accept subsequent requests for the model until the upgrade completes. **See also:** [Upgrading a custom language model](https://cloud.ibm.com/docs/services/speech-to-text/custom-upgrade.html#upgradeLanguage).
    
    Parameters:
    upgradeLanguageModelOptions - the UpgradeLanguageModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - addCorpus
```
public ServiceCall<java.lang.Void> addCorpus(AddCorpusOptions addCorpusOptions)
```
    Add a corpus. Adds a single corpus text file of new training data to a custom language model. Use multiple requests to submit multiple corpus text files. You must use credentials for the instance of the service that owns a model to add a corpus to it. Adding a corpus does not affect the custom language model until you train the model for the new data by using the **Train a custom language model** method. Submit a plain text file that contains sample sentences from the domain of interest to enable the service to extract words in context. The more sentences you add that represent the context in which speakers use words from the domain, the better the service's recognition accuracy. The call returns an HTTP 201 response code if the corpus is valid. The service then asynchronously processes the contents of the corpus and automatically extracts new words that it finds. This can take on the order of a minute or two to complete depending on the total number of words and the number of new words in the corpus, as well as the current load on the service. You cannot submit requests to add additional corpora or words to the custom model, or to train the model, until the service's analysis of the corpus for the current request completes. Use the **List a corpus** method to check the status of the analysis. The service auto-populates the model's words resource with any word that is not found in its base vocabulary; these are referred to as out-of-vocabulary (OOV) words. You can use the **List custom words** method to examine the words resource, using other words method to eliminate typos and modify how words are pronounced as needed. To add a corpus file that has the same name as an existing corpus, set the `allow_overwrite` parameter to `true`; otherwise, the request fails. Overwriting an existing corpus causes the service to process the corpus text file and extract OOV words anew. Before doing so, it removes any OOV words associated with the existing corpus from the model's words resource unless they were also added by another corpus or they have been modified in some way with the **Add custom words** or **Add a custom word** method. The service limits the overall amount of data that you can add to a custom model to a maximum of 10 million total words from all corpora combined. Also, you can add no more than 30 thousand custom (OOV) words to a model; this includes words that the service extracts from corpora and words that you add directly. **See also:** * [Working with corpora](https://cloud.ibm.com/docs/services/speech-to-text/language-resource.html#workingCorpora) * [Add corpora to the custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-create.html#addCorpora).
    
    Parameters:
    addCorpusOptions - the AddCorpusOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - deleteCorpus
```
public ServiceCall<java.lang.Void> deleteCorpus(DeleteCorpusOptions deleteCorpusOptions)
```
    Delete a corpus. Deletes an existing corpus from a custom language model. The service removes any out-of-vocabulary (OOV) words associated with the corpus from the custom model's words resource unless they were also added by another corpus or they have been modified in some way with the **Add custom words** or **Add a custom word** method. Removing a corpus does not affect the custom model until you train the model with the **Train a custom language model** method. You must use credentials for the instance of the service that owns a model to delete its corpora. **See also:** [Deleting a corpus from a custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-corpora.html#deleteCorpus).
    
    Parameters:
    deleteCorpusOptions - the DeleteCorpusOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - getCorpus
```
public ServiceCall<Corpus> getCorpus(GetCorpusOptions getCorpusOptions)
```
    Get a corpus. Gets information about a corpus from a custom language model. The information includes the total number of words and out-of-vocabulary (OOV) words, name, and status of the corpus. You must use credentials for the instance of the service that owns a model to list its corpora. **See also:** [Listing corpora for a custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-corpora.html#listCorpora).
    
    Parameters:
    getCorpusOptions - the GetCorpusOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Corpus
  - listCorpora
```
public ServiceCall<Corpora> listCorpora(ListCorporaOptions listCorporaOptions)
```
    List corpora. Lists information about all corpora from a custom language model. The information includes the total number of words and out-of-vocabulary (OOV) words, name, and status of each corpus. You must use credentials for the instance of the service that owns a model to list its corpora. **See also:** [Listing corpora for a custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-corpora.html#listCorpora).
    
    Parameters:
    listCorporaOptions - the ListCorporaOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Corpora
  - addWord
```
public ServiceCall<java.lang.Void> addWord(AddWordOptions addWordOptions)
```
    Add a custom word. Adds a custom word to a custom language model. The service populates the words resource for a custom model with out-of-vocabulary (OOV) words found in each corpus added to the model. You can use this method to add a word or to modify an existing word in the words resource. The words resource for a model can contain a maximum of 30 thousand custom (OOV) words, including words that the service extracts from corpora and words that you add directly. You must use credentials for the instance of the service that owns a model to add or modify a custom word for the model. Adding or modifying a custom word does not affect the custom model until you train the model for the new data by using the **Train a custom language model** method. Use the `word_name` parameter to specify the custom word that is to be added or modified. Use the `CustomWord` object to provide one or both of the optional `sounds_like` and `display_as` fields for the word. * The `sounds_like` field provides an array of one or more pronunciations for the word. Use the parameter to specify how the word can be pronounced by users. Use the parameter for words that are difficult to pronounce, foreign words, acronyms, and so on. For example, you might specify that the word `IEEE` can sound like `i triple e`. You can specify a maximum of five sounds-like pronunciations for a word. * The `display_as` field provides a different way of spelling the word in a transcript. Use the parameter when you want the word to appear different from its usual representation or from its spelling in corpora training data. For example, you might indicate that the word `IBM(trademark)` is to be displayed as `IBM™`. If you add a custom word that already exists in the words resource for the custom model, the new definition overwrites the existing data for the word. If the service encounters an error, it does not add the word to the words resource. Use the **List a custom word** method to review the word that you add. **See also:** * [Working with custom words](https://cloud.ibm.com/docs/services/speech-to-text/language-resource.html#workingWords) * [Add words to the custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-create.html#addWords).
    
    Parameters:
    addWordOptions - the AddWordOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - addWords
```
public ServiceCall<java.lang.Void> addWords(AddWordsOptions addWordsOptions)
```
    Add custom words. Adds one or more custom words to a custom language model. The service populates the words resource for a custom model with out-of-vocabulary (OOV) words found in each corpus added to the model. You can use this method to add additional words or to modify existing words in the words resource. The words resource for a model can contain a maximum of 30 thousand custom (OOV) words, including words that the service extracts from corpora and words that you add directly. You must use credentials for the instance of the service that owns a model to add or modify custom words for the model. Adding or modifying custom words does not affect the custom model until you train the model for the new data by using the **Train a custom language model** method. You add custom words by providing a `CustomWords` object, which is an array of `CustomWord` objects, one per word. You must use the object's `word` parameter to identify the word that is to be added. You can also provide one or both of the optional `sounds_like` and `display_as` fields for each word. * The `sounds_like` field provides an array of one or more pronunciations for the word. Use the parameter to specify how the word can be pronounced by users. Use the parameter for words that are difficult to pronounce, foreign words, acronyms, and so on. For example, you might specify that the word `IEEE` can sound like `i triple e`. You can specify a maximum of five sounds-like pronunciations for a word. * The `display_as` field provides a different way of spelling the word in a transcript. Use the parameter when you want the word to appear different from its usual representation or from its spelling in corpora training data. For example, you might indicate that the word `IBM(trademark)` is to be displayed as `IBM™`. If you add a custom word that already exists in the words resource for the custom model, the new definition overwrites the existing data for the word. If the service encounters an error with the input data, it returns a failure code and does not add any of the words to the words resource. The call returns an HTTP 201 response code if the input data is valid. It then asynchronously processes the words to add them to the model's words resource. The time that it takes for the analysis to complete depends on the number of new words that you add but is generally faster than adding a corpus or training a model. You can monitor the status of the request by using the **List a custom language model** method to poll the model's status. Use a loop to check the status every 10 seconds. The method returns a `Customization` object that includes a `status` field. A status of `ready` means that the words have been added to the custom model. The service cannot accept requests to add new corpora or words or to train the model until the existing request completes. You can use the **List custom words** or **List a custom word** method to review the words that you add. Words with an invalid `sounds_like` field include an `error` field that describes the problem. You can use other words-related methods to correct errors, eliminate typos, and modify how words are pronounced as needed. **See also:** * [Working with custom words](https://cloud.ibm.com/docs/services/speech-to-text/language-resource.html#workingWords) * [Add words to the custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-create.html#addWords).
    
    Parameters:
    addWordsOptions - the AddWordsOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - deleteWord
```
public ServiceCall<java.lang.Void> deleteWord(DeleteWordOptions deleteWordOptions)
```
    Delete a custom word. Deletes a custom word from a custom language model. You can remove any word that you added to the custom model's words resource via any means. However, if the word also exists in the service's base vocabulary, the service removes only the custom pronunciation for the word; the word remains in the base vocabulary. Removing a custom word does not affect the custom model until you train the model with the **Train a custom language model** method. You must use credentials for the instance of the service that owns a model to delete its words. **See also:** [Deleting a word from a custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-words.html#deleteWord).
    
    Parameters:
    deleteWordOptions - the DeleteWordOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - getWord
```
public ServiceCall<Word> getWord(GetWordOptions getWordOptions)
```
    Get a custom word. Gets information about a custom word from a custom language model. You must use credentials for the instance of the service that owns a model to query information about its words. **See also:** [Listing words from a custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-words.html#listWords).
    
    Parameters:
    getWordOptions - the GetWordOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Word
  - listWords
```
public ServiceCall<Words> listWords(ListWordsOptions listWordsOptions)
```
    List custom words. Lists information about custom words from a custom language model. You can list all words from the custom model's words resource, only custom words that were added or modified by the user, or only out-of-vocabulary (OOV) words that were extracted from corpora. You can also indicate the order in which the service is to return words; by default, words are listed in ascending alphabetical order. You must use credentials for the instance of the service that owns a model to query information about its words. **See also:** [Listing words from a custom language model](https://cloud.ibm.com/docs/services/speech-to-text/language-words.html#listWords).
    
    Parameters:
    listWordsOptions - the ListWordsOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Words
  - createAcousticModel
```
public ServiceCall<AcousticModel> createAcousticModel(CreateAcousticModelOptions createAcousticModelOptions)
```
    Create a custom acoustic model. Creates a new custom acoustic model for a specified base model. The custom acoustic model can be used only with the base model for which it is created. The model is owned by the instance of the service whose credentials are used to create it. **See also:** [Create a custom acoustic model](https://cloud.ibm.com/docs/services/speech-to-text/acoustic-create.html#createModel).
    
    Parameters:
    createAcousticModelOptions - the CreateAcousticModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of AcousticModel
  - deleteAcousticModel
```
public ServiceCall<java.lang.Void> deleteAcousticModel(DeleteAcousticModelOptions deleteAcousticModelOptions)
```
    Delete a custom acoustic model. Deletes an existing custom acoustic model. The custom model cannot be deleted if another request, such as adding an audio resource to the model, is currently being processed. You must use credentials for the instance of the service that owns a model to delete it. **See also:** [Deleting a custom acoustic model](https://cloud.ibm.com/docs/services/speech-to-text/acoustic-models.html#deleteModel).
    
    Parameters:
    deleteAcousticModelOptions - the DeleteAcousticModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - getAcousticModel
```
public ServiceCall<AcousticModel> getAcousticModel(GetAcousticModelOptions getAcousticModelOptions)
```
    Get a custom acoustic model. Gets information about a specified custom acoustic model. You must use credentials for the instance of the service that owns a model to list information about it. **See also:** [Listing custom acoustic models](https://cloud.ibm.com/docs/services/speech-to-text/acoustic-models.html#listModels).
    
    Parameters:
    getAcousticModelOptions - the GetAcousticModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of AcousticModel
  - listAcousticModels
```
public ServiceCall<AcousticModels> listAcousticModels(ListAcousticModelsOptions listAcousticModelsOptions)
```
    List custom acoustic models. Lists information about all custom acoustic models that are owned by an instance of the service. Use the `language` parameter to see all custom acoustic models for the specified language. Omit the parameter to see all custom acoustic models for all languages. You must use credentials for the instance of the service that owns a model to list information about it. **See also:** [Listing custom acoustic models](https://cloud.ibm.com/docs/services/speech-to-text/acoustic-models.html#listModels).
    
    Parameters:
    listAcousticModelsOptions - the ListAcousticModelsOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of AcousticModels
  - listAcousticModels
```
public ServiceCall<AcousticModels> listAcousticModels()
```
    List custom acoustic models. Lists information about all custom acoustic models that are owned by an instance of the service. Use the `language` parameter to see all custom acoustic models for the specified language. Omit the parameter to see all custom acoustic models for all languages. You must use credentials for the instance of the service that owns a model to list information about it. **See also:** [Listing custom acoustic models](https://cloud.ibm.com/docs/services/speech-to-text/acoustic-models.html#listModels).
    
    Returns:
    a ServiceCall with a response type of AcousticModels
  - resetAcousticModel
```
public ServiceCall<java.lang.Void> resetAcousticModel(ResetAcousticModelOptions resetAcousticModelOptions)
```
    Reset a custom acoustic model. Resets a custom acoustic model by removing all audio resources from the model. Resetting a custom acoustic model initializes the model to its state when it was first created. Metadata such as the name and language of the model are preserved, but the model's audio resources are removed and must be re-created. You must use credentials for the instance of the service that owns a model to reset it. **See also:** [Resetting a custom acoustic model](https://cloud.ibm.com/docs/services/speech-to-text/acoustic-models.html#resetModel).
    
    Parameters:
    resetAcousticModelOptions - the ResetAcousticModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - trainAcousticModel
```
public ServiceCall<java.lang.Void> trainAcousticModel(TrainAcousticModelOptions trainAcousticModelOptions)
```
    Train a custom acoustic model. Initiates the training of a custom acoustic model with new or changed audio resources. After adding or deleting audio resources for a custom acoustic model, use this method to begin the actual training of the model on the latest audio data. The custom acoustic model does not reflect its changed data until you train it. You must use credentials for the instance of the service that owns a model to train it. The training method is asynchronous. It can take on the order of minutes or hours to complete depending on the total amount of audio data on which the custom acoustic model is being trained and the current load on the service. Typically, training a custom acoustic model takes approximately two to four times the length of its audio data. The range of time depends on the model being trained and the nature of the audio, such as whether the audio is clean or noisy. The method returns an HTTP 200 response code to indicate that the training process has begun. You can monitor the status of the training by using the **Get a custom acoustic model** method to poll the model's status. Use a loop to check the status once a minute. The method returns an `AcousticModel` object that includes `status` and `progress` fields. A status of `available` indicates that the custom model is trained and ready to use. The service cannot accept subsequent training requests, or requests to add new audio resources, until the existing request completes. You can use the optional `custom_language_model_id` parameter to specify the GUID of a separately created custom language model that is to be used during training. Specify a custom language model if you have verbatim transcriptions of the audio files that you have added to the custom model or you have either corpora (text files) or a list of words that are relevant to the contents of the audio files. For more information, see the **Create a custom language model** method. Training can fail to start for the following reasons: * The service is currently handling another request for the custom model, such as another training request or a request to add audio resources to the model. * The custom model contains less than 10 minutes or more than 50 hours of audio data. * One or more of the custom model's audio resources is invalid. **See also:** [Train the custom acoustic model](https://cloud.ibm.com/docs/services/speech-to-text/acoustic-create.html#trainModel).
    
    Parameters:
    trainAcousticModelOptions - the TrainAcousticModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - upgradeAcousticModel
```
public ServiceCall<java.lang.Void> upgradeAcousticModel(UpgradeAcousticModelOptions upgradeAcousticModelOptions)
```
    Upgrade a custom acoustic model. Initiates the upgrade of a custom acoustic model to the latest version of its base language model. The upgrade method is asynchronous. It can take on the order of minutes or hours to complete depending on the amount of data in the custom model and the current load on the service; typically, upgrade takes approximately twice the length of the total audio contained in the custom model. A custom model must be in the `ready` or `available` state to be upgraded. You must use credentials for the instance of the service that owns a model to upgrade it. The method returns an HTTP 200 response code to indicate that the upgrade process has begun successfully. You can monitor the status of the upgrade by using the **Get a custom acoustic model** method to poll the model's status. The method returns an `AcousticModel` object that includes `status` and `progress` fields. Use a loop to check the status once a minute. While it is being upgraded, the custom model has the status `upgrading`. When the upgrade is complete, the model resumes the status that it had prior to upgrade. The service cannot accept subsequent requests for the model until the upgrade completes. If the custom acoustic model was trained with a separately created custom language model, you must use the `custom_language_model_id` parameter to specify the GUID of that custom language model. The custom language model must be upgraded before the custom acoustic model can be upgraded. Omit the parameter if the custom acoustic model was not trained with a custom language model. **See also:** [Upgrading a custom acoustic model](https://cloud.ibm.com/docs/services/speech-to-text/custom-upgrade.html#upgradeAcoustic).
    
    Parameters:
    upgradeAcousticModelOptions - the UpgradeAcousticModelOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - addAudio
```
public ServiceCall<java.lang.Void> addAudio(AddAudioOptions addAudioOptions)
```
    Add an audio resource. Adds an audio resource to a custom acoustic model. Add audio content that reflects the acoustic characteristics of the audio that you plan to transcribe. You must use credentials for the instance of the service that owns a model to add an audio resource to it. Adding audio data does not affect the custom acoustic model until you train the model for the new data by using the **Train a custom acoustic model** method. You can add individual audio files or an archive file that contains multiple audio files. Adding multiple audio files via a single archive file is significantly more efficient than adding each file individually. You can add audio resources in any format that the service supports for speech recognition. You can use this method to add any number of audio resources to a custom model by calling the method once for each audio or archive file. But the addition of one audio resource must be fully complete before you can add another. You must add a minimum of 10 minutes and a maximum of 50 hours of audio that includes speech, not just silence, to a custom acoustic model before you can train it. No audio resource, audio- or archive-type, can be larger than 100 MB. To add an audio resource that has the same name as an existing audio resource, set the `allow_overwrite` parameter to `true`; otherwise, the request fails. The method is asynchronous. It can take several seconds to complete depending on the duration of the audio and, in the case of an archive file, the total number of audio files being processed. The service returns a 201 response code if the audio is valid. It then asynchronously analyzes the contents of the audio file or files and automatically extracts information about the audio such as its length, sampling rate, and encoding. You cannot submit requests to add additional audio resources to a custom acoustic model, or to train the model, until the service's analysis of all audio files for the current request completes. To determine the status of the service's analysis of the audio, use the **Get an audio resource** method to poll the status of the audio. The method accepts the customization ID of the custom model and the name of the audio resource, and it returns the status of the resource. Use a loop to check the status of the audio every few seconds until it becomes `ok`. **See also:** [Add audio to the custom acoustic model](https://cloud.ibm.com/docs/services/speech-to-text/acoustic-create.html#addAudio). ### Content types for audio-type resources You can add an individual audio file in any format that the service supports for speech recognition. For an audio-type resource, use the `Content-Type` parameter to specify the audio format (MIME type) of the audio file, including specifying the sampling rate, channels, and endianness where indicated. * `audio/basic` (Use only with narrowband models.) * `audio/flac` * `audio/l16` (Specify the sampling rate (`rate`) and optionally the number of channels (`channels`) and endianness (`endianness`) of the audio.) * `audio/mp3` * `audio/mpeg` * `audio/mulaw` (Specify the sampling rate (`rate`) of the audio.) * `audio/ogg` (The service automatically detects the codec of the input audio.) * `audio/ogg;codecs=opus` * `audio/ogg;codecs=vorbis` * `audio/wav` (Provide audio with a maximum of nine channels.) * `audio/webm` (The service automatically detects the codec of the input audio.) * `audio/webm;codecs=opus` * `audio/webm;codecs=vorbis` **See also:** [Audio formats](https://cloud.ibm.com/docs/services/speech-to-text/audio-formats.html). **Note:** The sampling rate of an audio file must match the sampling rate of the base model for the custom model: for broadband models, at least 16 kHz; for narrowband models, at least 8 kHz. If the sampling rate of the audio is higher than the minimum required rate, the service down-samples the audio to the appropriate rate. If the sampling rate of the audio is lower than the minimum required rate, the service labels the audio file as `invalid`. ### Content types for archive-type resources You can add an archive file (**.zip** or **.tar.gz** file) that contains audio files in any format that the service supports for speech recognition. For an archive-type resource, use the `Content-Type` parameter to specify the media type of the archive file: * `application/zip` for a **.zip** file * `application/gzip` for a **.tar.gz** file. All audio files contained in the archive must have the same audio format. Use the `Contained-Content-Type` parameter to specify the format of the contained audio files. The parameter accepts all of the audio formats supported for use with speech recognition and with the `Content-Type` header, including the `rate`, `channels`, and `endianness` parameters that are used with some formats. The default contained audio format is `audio/wav`. ### Naming restrictions for embedded audio files The name of an audio file that is embedded within an archive-type resource must meet the following restrictions: * Include a maximum of 128 characters in the file name; this includes the file extension. * Do not include spaces, slashes, or backslashes in the file name. * Do not use the name of an audio file that has already been added to the custom model as part of an archive-type resource.
    
    Parameters:
    addAudioOptions - the AddAudioOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - deleteAudio
```
public ServiceCall<java.lang.Void> deleteAudio(DeleteAudioOptions deleteAudioOptions)
```
    Delete an audio resource. Deletes an existing audio resource from a custom acoustic model. Deleting an archive-type audio resource removes the entire archive of files; the current interface does not allow deletion of individual files from an archive resource. Removing an audio resource does not affect the custom model until you train the model on its updated data by using the **Train a custom acoustic model** method. You must use credentials for the instance of the service that owns a model to delete its audio resources. **See also:** [Deleting an audio resource from a custom acoustic model](https://cloud.ibm.com/docs/services/speech-to-text/acoustic-audio.html#deleteAudio).
    
    Parameters:
    deleteAudioOptions - the DeleteAudioOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void
  - getAudio
```
public ServiceCall<AudioListing> getAudio(GetAudioOptions getAudioOptions)
```
    Get an audio resource. Gets information about an audio resource from a custom acoustic model. The method returns an `AudioListing` object whose fields depend on the type of audio resource that you specify with the method's `audio_name` parameter: * **For an audio-type resource,** the object's fields match those of an `AudioResource` object: `duration`, `name`, `details`, and `status`. * **For an archive-type resource,** the object includes a `container` field whose fields match those of an `AudioResource` object. It also includes an `audio` field, which contains an array of `AudioResource` objects that provides information about the audio files that are contained in the archive. The information includes the status of the specified audio resource. The status is important for checking the service's analysis of a resource that you add to the custom model. * For an audio-type resource, the `status` field is located in the `AudioListing` object. * For an archive-type resource, the `status` field is located in the `AudioResource` object that is returned in the `container` field. You must use credentials for the instance of the service that owns a model to list its audio resources. **See also:** [Listing audio resources for a custom acoustic model](https://cloud.ibm.com/docs/services/speech-to-text/acoustic-audio.html#listAudio).
    
    Parameters:
    getAudioOptions - the GetAudioOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of AudioListing
  - listAudio
```
public ServiceCall<AudioResources> listAudio(ListAudioOptions listAudioOptions)
```
    List audio resources. Lists information about all audio resources from a custom acoustic model. The information includes the name of the resource and information about its audio data, such as its duration. It also includes the status of the audio resource, which is important for checking the service's analysis of the resource in response to a request to add it to the custom acoustic model. You must use credentials for the instance of the service that owns a model to list its audio resources. **See also:** [Listing audio resources for a custom acoustic model](https://cloud.ibm.com/docs/services/speech-to-text/acoustic-audio.html#listAudio).
    
    Parameters:
    listAudioOptions - the ListAudioOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of AudioResources
  - deleteUserData
```
public ServiceCall<java.lang.Void> deleteUserData(DeleteUserDataOptions deleteUserDataOptions)
```
    Delete labeled data. Deletes all data that is associated with a specified customer ID. The method deletes all data for the customer ID, regardless of the method by which the information was added. The method has no effect if no data is associated with the customer ID. You must issue the request with credentials for the same instance of the service that was used to associate the customer ID with the data. You associate a customer ID with data by passing the `X-Watson-Metadata` header with a request that passes the data. **See also:** [Information security](https://cloud.ibm.com/docs/services/speech-to-text/information-security.html).
    
    Parameters:
    deleteUserDataOptions - the DeleteUserDataOptions containing the options for the call
    
    Returns:
    a ServiceCall with a response type of Void

Class SpeechToText

Field Summary

Fields inherited from class com.ibm.watson.developer_cloud.service.WatsonService

Constructor Summary

Method Summary

Methods inherited from class com.ibm.watson.developer_cloud.service.WatsonService

Methods inherited from class java.lang.Object

Constructor Detail

SpeechToText

SpeechToText

SpeechToText

Method Detail

getModel

listModels

listModels

recognize

recognizeUsingWebSocket

checkJob

checkJobs

checkJobs

createJob

deleteJob

registerCallback

unregisterCallback

createLanguageModel

deleteLanguageModel

getLanguageModel

listLanguageModels

listLanguageModels

resetLanguageModel

trainLanguageModel

upgradeLanguageModel

addCorpus

deleteCorpus

getCorpus

listCorpora

addWord

addWords

deleteWord

getWord

listWords

createAcousticModel

deleteAcousticModel

getAcousticModel

listAcousticModels

listAcousticModels

resetAcousticModel

trainAcousticModel

upgradeAcousticModel

addAudio

deleteAudio

getAudio

listAudio

deleteUserData