Interface | Description |
---|---|
AcousticModel.Status |
The current status of the custom acoustic model:
* `pending` indicates that the model was created but is waiting either for training data to be added or for the
service to finish analyzing added data.
|
AddAudioOptions.ContainedContentType |
For an archive-type resource, specifies the format of the audio files that are contained in the archive file.
|
AddAudioOptions.ContentType |
For an audio-type resource, the format (MIME type) of the audio.
|
AudioDetails.Compression |
**For an archive-type resource,** the format of the compressed archive:
* `zip` for a **.zip** file
* `gzip` for a **.tar.gz** file
Omitted for an audio-type resource.
|
AudioDetails.Type |
The type of the audio resource:
* `audio` for an individual audio file
* `archive` for an archive (**.zip** or **.tar.gz**) file that contains audio files
* `undetermined` for a resource that the service cannot validate (for example, if the user mistakenly passes a file
that does not contain audio, such as a JPEG file).
|
AudioListing.Status |
**For an audio-type resource,** the status of the resource:
* `ok` indicates that the service has successfully analyzed the audio data.
|
AudioResource.Status |
The status of the audio resource:
* `ok` indicates that the service has successfully analyzed the audio data.
|
Corpus.Status |
The status of the corpus:
* `analyzed` indicates that the service has successfully analyzed the corpus; the custom model can be trained with
data from the corpus.
|
CreateAcousticModelOptions.BaseModelName |
The name of the base language model that is to be customized by the new custom acoustic model.
|
CreateJobOptions.ContentType |
The format (MIME type) of the audio.
|
CreateJobOptions.Events |
If the job includes a callback URL, a comma-separated list of notification events to which to subscribe.
|
CreateJobOptions.Model |
The identifier of the model that is to be used for the recognition request.
|
CreateLanguageModelOptions.BaseModelName |
The name of the base language model that is to be customized by the new custom language model.
|
CreateSessionOptions.Model |
The identifier of the model to be used by the new session.
|
GetModelOptions.ModelId |
The identifier of the model in the form of its name from the output of the **Get a model** method.
|
LanguageModel.Status |
The current status of the custom language model:
* `pending` indicates that the model was created but is waiting either for training data to be added or for the
service to finish analyzing added data.
|
ListWordsOptions.Sort |
Indicates the order in which the words are to be listed, `alphabetical` or by `count`.
|
ListWordsOptions.WordType |
The type of words to be listed from the custom language model's words resource:
* `all` (the default) shows all words.
|
MultipartRecognition.PartContentType |
The audio format (MIME type) of the audio in the following parts:
* `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 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`
All data parts must have the same audio format.
|
RecognitionJob.Status |
The current status of the job:
* `waiting`: The service is preparing the job for processing.
|
RecognizeOptions.ContentType |
The format (MIME type) of the audio.
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RecognizeOptions.Model |
The identifier of the model that is to be used for the recognition request.
|
RegisterStatus.Status |
The current status of the job:
* `created` if the callback URL was successfully white-listed as a result of the call.
|
TrainLanguageModelOptions.WordTypeToAdd |
The type of words from the custom language model's words resource on which to train the model:
* `all` (the default) trains the model on all new words, regardless of whether they were extracted from corpora or
were added or modified by the user.
|