Reference documentation and code samples for the Cloud Speech V1p1beta1 Client class RecognitionConfig.
Provides information to the recognizer that specifies how to process the request.
Generated from protobuf message google.cloud.speech.v1p1beta1.RecognitionConfig
Namespace
Google \ Cloud \ Speech \ V1p1beta1Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ encoding
int
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
.
↳ sample_rate_hertz
int
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, but is required for all other audio formats. For details, see AudioEncoding
.
↳ audio_channel_count
int
The number of channels in the input audio data. ONLY set this for MULTI-CHANNEL recognition. Valid values for LINEAR16, OGG_OPUS and FLAC are 1
- 8
. 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'.
↳ enable_separate_recognition_per_channel
bool
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.
↳ language_code
string
Required. The language of the supplied audio as a BCP-47 language tag. Example: "en-US". See Language Support for a list of the currently supported language codes.
↳ alternative_language_codes
array
A list of up to 3 additional BCP-47 language tags, listing possible alternative languages of the supplied audio. See Language Support 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).
↳ max_alternatives
int
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.
↳ profanity_filter
bool
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.
↳ adaptation
Google\Cloud\Speech\V1p1beta1\SpeechAdaptation
Speech adaptation configuration improves the accuracy of speech recognition. For more information, see the speech adaptation
documentation. When speech adaptation is set it supersedes the speech_contexts
field.
↳ transcript_normalization
Google\Cloud\Speech\V1p1beta1\TranscriptNormalization
Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.
↳ speech_contexts
array< Google\Cloud\Speech\V1p1beta1\SpeechContext
>
Array of SpeechContext . A means to provide context to assist the speech recognition. For more information, see speech adaptation .
↳ enable_word_time_offsets
bool
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
.
↳ enable_word_confidence
bool
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
.
↳ enable_automatic_punctuation
bool
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.
↳ enable_spoken_punctuation
Google\Protobuf\BoolValue
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
↳ enable_spoken_emojis
Google\Protobuf\BoolValue
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
↳ enable_speaker_diarization
bool
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: Use diarization_config instead.
↳ diarization_speaker_count
int
If set, specifies the estimated number of speakers in the conversation. Defaults to '2'. Ignored unless enable_speaker_diarization is set to true. Note: Use diarization_config instead.
↳ diarization_config
Google\Cloud\Speech\V1p1beta1\SpeakerDiarizationConfig
Config to enable speaker diarization and set additional parameters to make diarization better suited for your application. Note: When this is enabled, 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.
↳ metadata
Google\Cloud\Speech\V1p1beta1\RecognitionMetadata
Metadata regarding this request.
↳ model
string
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.
Model | Description |
latest_long
|
Best for long form content like media or conversation. |
latest_short
|
Best for short form content like commands or single shot directed speech. |
command_and_search
|
Best for short queries such as voice commands or voice search. |
phone_call
|
Best for audio that originated from a phone call (typically recorded at an 8khz sampling rate). |
video
|
Best for audio that originated 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. |
default
|
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. |
medical_conversation
|
Best for audio that originated from a conversation between a medical provider and patient. |
medical_dictation
|
Best for audio that originated from dictation notes by a medical provider. |
↳ use_enhanced
bool
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 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.
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
.
int
setEncoding
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
.
var
int
$this
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, but is required for all other audio formats. For details, see AudioEncoding .
int
setSampleRateHertz
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, but is required for all other audio formats. For details, see AudioEncoding .
var
int
$this
getAudioChannelCount
The number of channels in the input audio data.
ONLY set this for MULTI-CHANNEL recognition.
Valid values for LINEAR16, OGG_OPUS and FLAC are 1
- 8
.
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'.
int
setAudioChannelCount
The number of channels in the input audio data.
ONLY set this for MULTI-CHANNEL recognition.
Valid values for LINEAR16, OGG_OPUS and FLAC are 1
- 8
.
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'.
var
int
$this
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
setEnableSeparateRecognitionPerChannel
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.
var
bool
$this
getLanguageCode
Required. The language of the supplied audio as a BCP-47 language tag.
Example: "en-US". See Language Support for a list of the currently supported language codes.
string
setLanguageCode
Required. The language of the supplied audio as a BCP-47 language tag.
Example: "en-US". See Language Support for a list of the currently supported language codes.
var
string
$this
getAlternativeLanguageCodes
A list of up to 3 additional BCP-47 language tags, listing possible alternative languages of the supplied audio.
See Language Support 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).
setAlternativeLanguageCodes
A list of up to 3 additional BCP-47 language tags, listing possible alternative languages of the supplied audio.
See Language Support 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).
var
string[]
$this
getMaxAlternatives
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.
int
setMaxAlternatives
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.
var
int
$this
getProfanityFilter
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
setProfanityFilter
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.
var
bool
$this
getAdaptation
Speech adaptation configuration improves the accuracy of speech recognition. For more information, see the speech adaptation documentation.
When speech adaptation is set it supersedes the speech_contexts
field.
hasAdaptation
clearAdaptation
setAdaptation
Speech adaptation configuration improves the accuracy of speech recognition. For more information, see the speech adaptation documentation.
When speech adaptation is set it supersedes the speech_contexts
field.
$this
getTranscriptNormalization
Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.
hasTranscriptNormalization
clearTranscriptNormalization
setTranscriptNormalization
Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.
$this
getSpeechContexts
Array of SpeechContext .
A means to provide context to assist the speech recognition. For more information, see speech adaptation .
setSpeechContexts
Array of SpeechContext .
A means to provide context to assist the speech recognition. For more information, see speech adaptation .
$this
getEnableWordTimeOffsets
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
setEnableWordTimeOffsets
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
.
var
bool
$this
getEnableWordConfidence
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
setEnableWordConfidence
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
.
var
bool
$this
getEnableAutomaticPunctuation
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.
bool
setEnableAutomaticPunctuation
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.
var
bool
$this
getEnableSpokenPunctuation
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
hasEnableSpokenPunctuation
clearEnableSpokenPunctuation
getEnableSpokenPunctuationValue
Returns the unboxed value from getEnableSpokenPunctuation()
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
bool|null
setEnableSpokenPunctuation
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
$this
setEnableSpokenPunctuationValue
Sets the field by wrapping a primitive type in a Google\Protobuf\BoolValue object.
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
var
bool|null
$this
getEnableSpokenEmojis
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
hasEnableSpokenEmojis
clearEnableSpokenEmojis
getEnableSpokenEmojisValue
Returns the unboxed value from getEnableSpokenEmojis()
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
bool|null
setEnableSpokenEmojis
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
$this
setEnableSpokenEmojisValue
Sets the field by wrapping a primitive type in a Google\Protobuf\BoolValue object.
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
var
bool|null
$this
getEnableSpeakerDiarization
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: Use diarization_config instead.
bool
setEnableSpeakerDiarization
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: Use diarization_config instead.
var
bool
$this
getDiarizationSpeakerCount
If set, specifies the estimated number of speakers in the conversation.
Defaults to '2'. Ignored unless enable_speaker_diarization is set to true. Note: Use diarization_config instead.
int
setDiarizationSpeakerCount
If set, specifies the estimated number of speakers in the conversation.
Defaults to '2'. Ignored unless enable_speaker_diarization is set to true. Note: Use diarization_config instead.
var
int
$this
getDiarizationConfig
Config to enable speaker diarization and set additional parameters to make diarization better suited for your application.
Note: When this is enabled, 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.
hasDiarizationConfig
clearDiarizationConfig
setDiarizationConfig
Config to enable speaker diarization and set additional parameters to make diarization better suited for your application.
Note: When this is enabled, 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.
$this
getMetadata
Metadata regarding this request.
Google\Cloud\Speech\V1p1beta1\RecognitionMetadata
|null
hasMetadata
clearMetadata
setMetadata
Metadata regarding this request.
var
Google\Cloud\Speech\V1p1beta1\RecognitionMetadata
$this
getModel
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.
Model | Description |
latest_long
|
Best for long form content like media or conversation. |
latest_short
|
Best for short form content like commands or single shot directed speech. |
command_and_search
|
Best for short queries such as voice commands or voice search. |
phone_call
|
Best for audio that originated from a phone call (typically recorded at an 8khz sampling rate). |
video
|
Best for audio that originated 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. |
default
|
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. |
medical_conversation
|
Best for audio that originated from a conversation between a medical provider and patient. |
medical_dictation
|
Best for audio that originated from dictation notes by a medical provider. |
string
setModel
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.
Model | Description |
latest_long
|
Best for long form content like media or conversation. |
latest_short
|
Best for short form content like commands or single shot directed speech. |
command_and_search
|
Best for short queries such as voice commands or voice search. |
phone_call
|
Best for audio that originated from a phone call (typically recorded at an 8khz sampling rate). |
video
|
Best for audio that originated 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. |
default
|
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. |
medical_conversation
|
Best for audio that originated from a conversation between a medical provider and patient. |
medical_dictation
|
Best for audio that originated from dictation notes by a medical provider. |
var
string
$this
getUseEnhanced
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 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.
bool
setUseEnhanced
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 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.
var
bool
$this