public interface RecognitionConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
String |
getAlternativeLanguageCodes(int index)
*Optional* A list of up to 3 additional
[BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
listing possible alternative languages of the supplied audio.
|
com.google.protobuf.ByteString |
getAlternativeLanguageCodesBytes(int index)
*Optional* A list of up to 3 additional
[BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
listing possible alternative languages of the supplied audio.
|
int |
getAlternativeLanguageCodesCount()
*Optional* A list of up to 3 additional
[BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
listing possible alternative languages of the supplied audio.
|
List<String> |
getAlternativeLanguageCodesList()
*Optional* A list of up to 3 additional
[BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
listing possible alternative languages of the supplied audio.
|
int |
getAudioChannelCount()
*Optional* The number of channels in the input audio data.
|
int |
getDiarizationSpeakerCount()
*Optional*
If set, specifies the estimated number of speakers in the conversation.
|
boolean |
getEnableAutomaticPunctuation()
*Optional* If 'true', adds punctuation to recognition result hypotheses.
|
boolean |
getEnableSeparateRecognitionPerChannel()
This needs to be set to ‘true’ explicitly and `audio_channel_count` > 1
to get each channel recognized separately.
|
boolean |
getEnableSpeakerDiarization()
*Optional* If 'true', enables speaker detection for each recognized word in
the top alternative of the recognition result using a speaker_tag provided
in the WordInfo.
|
boolean |
getEnableWordConfidence()
*Optional* If `true`, the top result includes a list of words and the
confidence for those words.
|
boolean |
getEnableWordTimeOffsets()
*Optional* If `true`, the top result includes a list of words and
the start and end time offsets (timestamps) for those words.
|
RecognitionConfig.AudioEncoding |
getEncoding()
Encoding of audio data sent in all `RecognitionAudio` messages.
|
int |
getEncodingValue()
Encoding of audio data sent in all `RecognitionAudio` messages.
|
String |
getLanguageCode()
*Required* The language of the supplied audio as a
[BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
|
com.google.protobuf.ByteString |
getLanguageCodeBytes()
*Required* The language of the supplied audio as a
[BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
|
int |
getMaxAlternatives()
*Optional* Maximum number of recognition hypotheses to be returned.
|
RecognitionMetadata |
getMetadata()
*Optional* Metadata regarding this request.
|
RecognitionMetadataOrBuilder |
getMetadataOrBuilder()
*Optional* Metadata regarding this request.
|
String |
getModel()
*Optional* Which model to select for the given request.
|
com.google.protobuf.ByteString |
getModelBytes()
*Optional* Which model to select for the given request.
|
boolean |
getProfanityFilter()
*Optional* If set to `true`, the server will attempt to filter out
profanities, replacing all but the initial character in each filtered word
with asterisks, e.g.
|
int |
getSampleRateHertz()
Sample rate in Hertz of the audio data sent in all
`RecognitionAudio` messages.
|
SpeechContext |
getSpeechContexts(int index)
*Optional* array of
[SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
|
int |
getSpeechContextsCount()
*Optional* array of
[SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
|
List<SpeechContext> |
getSpeechContextsList()
*Optional* array of
[SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
|
SpeechContextOrBuilder |
getSpeechContextsOrBuilder(int index)
*Optional* array of
[SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
|
List<? extends SpeechContextOrBuilder> |
getSpeechContextsOrBuilderList()
*Optional* array of
[SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
|
boolean |
getUseEnhanced()
*Optional* Set to true to use an enhanced model for speech recognition.
|
boolean |
hasMetadata()
*Optional* Metadata regarding this request.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofint getEncodingValue()
Encoding of audio data sent in all `RecognitionAudio` messages. This field is optional for `FLAC` and `WAV` audio files and required for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;RecognitionConfig.AudioEncoding getEncoding()
Encoding of audio data sent in all `RecognitionAudio` messages. This field is optional for `FLAC` and `WAV` audio files and required for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;int getSampleRateHertz()
Sample rate in Hertz of the audio data sent in all `RecognitionAudio` messages. Valid values are: 8000-48000. 16000 is optimal. For best results, set the sampling rate of the audio source to 16000 Hz. If that's not possible, use the native sample rate of the audio source (instead of re-sampling). This field is optional for `FLAC` and `WAV` audio files and required for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
int32 sample_rate_hertz = 2;int getAudioChannelCount()
*Optional* The number of channels in the input audio data. ONLY set this for MULTI-CHANNEL recognition. Valid values for LINEAR16 and FLAC are `1`-`8`. Valid values for OGG_OPUS are '1'-'254'. Valid value for MULAW, AMR, AMR_WB and SPEEX_WITH_HEADER_BYTE is only `1`. If `0` or omitted, defaults to one channel (mono). Note: We only recognize the first channel by default. To perform independent recognition on each channel set `enable_separate_recognition_per_channel` to 'true'.
int32 audio_channel_count = 7;boolean getEnableSeparateRecognitionPerChannel()
This needs to be set to ‘true’ explicitly and `audio_channel_count` > 1 to get each channel recognized separately. The recognition result will contain a `channel_tag` field to state which channel that result belongs to. If this is not true, we will only recognize the first channel. The request is billed cumulatively for all channels recognized: `audio_channel_count` multiplied by the length of the audio.
bool enable_separate_recognition_per_channel = 12;String getLanguageCode()
*Required* The language of the supplied audio as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US". See [Language Support](/speech-to-text/docs/languages) for a list of the currently supported language codes.
string language_code = 3;com.google.protobuf.ByteString getLanguageCodeBytes()
*Required* The language of the supplied audio as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US". See [Language Support](/speech-to-text/docs/languages) for a list of the currently supported language codes.
string language_code = 3;List<String> getAlternativeLanguageCodesList()
*Optional* A list of up to 3 additional [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags, listing possible alternative languages of the supplied audio. See [Language Support](/speech-to-text/docs/languages) for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;int getAlternativeLanguageCodesCount()
*Optional* A list of up to 3 additional [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags, listing possible alternative languages of the supplied audio. See [Language Support](/speech-to-text/docs/languages) for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;String getAlternativeLanguageCodes(int index)
*Optional* A list of up to 3 additional [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags, listing possible alternative languages of the supplied audio. See [Language Support](/speech-to-text/docs/languages) for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;com.google.protobuf.ByteString getAlternativeLanguageCodesBytes(int index)
*Optional* A list of up to 3 additional [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags, listing possible alternative languages of the supplied audio. See [Language Support](/speech-to-text/docs/languages) for a list of the currently supported language codes. If alternative languages are listed, recognition result will contain recognition in the most likely language detected including the main language_code. The recognition result will include the language tag of the language detected in the audio. Note: This feature is only supported for Voice Command and Voice Search use cases and performance may vary for other use cases (e.g., phone call transcription).
repeated string alternative_language_codes = 18;int getMaxAlternatives()
*Optional* Maximum number of recognition hypotheses to be returned. Specifically, the maximum number of `SpeechRecognitionAlternative` messages within each `SpeechRecognitionResult`. The server may return fewer than `max_alternatives`. Valid values are `0`-`30`. A value of `0` or `1` will return a maximum of one. If omitted, will return a maximum of one.
int32 max_alternatives = 4;boolean getProfanityFilter()
*Optional* If set to `true`, the server will attempt to filter out profanities, replacing all but the initial character in each filtered word with asterisks, e.g. "f***". If set to `false` or omitted, profanities won't be filtered out.
bool profanity_filter = 5;List<SpeechContext> getSpeechContextsList()
*Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext]. A means to provide context to assist the speech recognition. For more information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;SpeechContext getSpeechContexts(int index)
*Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext]. A means to provide context to assist the speech recognition. For more information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;int getSpeechContextsCount()
*Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext]. A means to provide context to assist the speech recognition. For more information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;List<? extends SpeechContextOrBuilder> getSpeechContextsOrBuilderList()
*Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext]. A means to provide context to assist the speech recognition. For more information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;SpeechContextOrBuilder getSpeechContextsOrBuilder(int index)
*Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext]. A means to provide context to assist the speech recognition. For more information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;boolean getEnableWordTimeOffsets()
*Optional* If `true`, the top result includes a list of words and the start and end time offsets (timestamps) for those words. If `false`, no word-level time offset information is returned. The default is `false`.
bool enable_word_time_offsets = 8;boolean getEnableWordConfidence()
*Optional* If `true`, the top result includes a list of words and the confidence for those words. If `false`, no word-level confidence information is returned. The default is `false`.
bool enable_word_confidence = 15;boolean getEnableAutomaticPunctuation()
*Optional* If 'true', adds punctuation to recognition result hypotheses. This feature is only available in select languages. Setting this for requests in other languages has no effect at all. The default 'false' value does not add punctuation to result hypotheses. Note: This is currently offered as an experimental service, complimentary to all users. In the future this may be exclusively available as a premium feature.
bool enable_automatic_punctuation = 11;boolean getEnableSpeakerDiarization()
*Optional* If 'true', enables speaker detection for each recognized word in the top alternative of the recognition result using a speaker_tag provided in the WordInfo. Note: When this is true, we send all the words from the beginning of the audio for the top alternative in every consecutive STREAMING responses. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time. For non-streaming requests, the diarization results will be provided only in the top alternative of the FINAL SpeechRecognitionResult.
bool enable_speaker_diarization = 16;int getDiarizationSpeakerCount()
*Optional* If set, specifies the estimated number of speakers in the conversation. If not set, defaults to '2'. Ignored unless enable_speaker_diarization is set to true."
int32 diarization_speaker_count = 17;boolean hasMetadata()
*Optional* Metadata regarding this request.
.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;RecognitionMetadata getMetadata()
*Optional* Metadata regarding this request.
.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;RecognitionMetadataOrBuilder getMetadataOrBuilder()
*Optional* Metadata regarding this request.
.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;String getModel()
*Optional* Which model to select for the given request. Select the model
best suited to your domain to get best results. If a model is not
explicitly specified, then we auto-select a model based on the parameters
in the RecognitionConfig.
<table>
<tr>
<td><b>Model</b></td>
<td><b>Description</b></td>
</tr>
<tr>
<td><code>command_and_search</code></td>
<td>Best for short queries such as voice commands or voice search.</td>
</tr>
<tr>
<td><code>phone_call</code></td>
<td>Best for audio that originated from a phone call (typically
recorded at an 8khz sampling rate).</td>
</tr>
<tr>
<td><code>video</code></td>
<td>Best for audio that originated from from video or includes multiple
speakers. Ideally the audio is recorded at a 16khz or greater
sampling rate. This is a premium model that costs more than the
standard rate.</td>
</tr>
<tr>
<td><code>default</code></td>
<td>Best for audio that is not one of the specific audio models.
For example, long-form audio. Ideally the audio is high-fidelity,
recorded at a 16khz or greater sampling rate.</td>
</tr>
</table>
string model = 13;com.google.protobuf.ByteString getModelBytes()
*Optional* Which model to select for the given request. Select the model
best suited to your domain to get best results. If a model is not
explicitly specified, then we auto-select a model based on the parameters
in the RecognitionConfig.
<table>
<tr>
<td><b>Model</b></td>
<td><b>Description</b></td>
</tr>
<tr>
<td><code>command_and_search</code></td>
<td>Best for short queries such as voice commands or voice search.</td>
</tr>
<tr>
<td><code>phone_call</code></td>
<td>Best for audio that originated from a phone call (typically
recorded at an 8khz sampling rate).</td>
</tr>
<tr>
<td><code>video</code></td>
<td>Best for audio that originated from from video or includes multiple
speakers. Ideally the audio is recorded at a 16khz or greater
sampling rate. This is a premium model that costs more than the
standard rate.</td>
</tr>
<tr>
<td><code>default</code></td>
<td>Best for audio that is not one of the specific audio models.
For example, long-form audio. Ideally the audio is high-fidelity,
recorded at a 16khz or greater sampling rate.</td>
</tr>
</table>
string model = 13;boolean getUseEnhanced()
*Optional* Set to true to use an enhanced model for speech recognition. If `use_enhanced` is set to true and the `model` field is not set, then an appropriate enhanced model is chosen if: 1. project is eligible for requesting enhanced models 2. an enhanced model exists for the audio If `use_enhanced` is true and an enhanced version of the specified model does not exist, then the speech is recognized using the standard version of the specified model. Enhanced speech models require that you opt-in to data logging using instructions in the [documentation](/speech-to-text/docs/enable-data-logging). If you set `use_enhanced` to true and you have not enabled audio logging, then you will receive an error.
bool use_enhanced = 14;Copyright © 2019 Google LLC. All rights reserved.