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114
gcloud/alpha/ml/speech/recognizers/create
View file

@ -5,18 +5,15 @@ NAME
SYNOPSIS
gcloud alpha ml speech recognizers create
(RECOGNIZER : --location=LOCATION) --language-codes=[LANGUAGE_CODE,...]
--model=MODEL [--async] [--audio-channel-count=AUDIO_CHANNEL_COUNT]
[--display-name=DISPLAY_NAME]
[--enable-automatic-punctuation=ENABLE_AUTOMATIC_PUNCTUATION]
[--enable-spoken-emojis=ENABLE_SPOKEN_EMOJIS]
[--enable-spoken-punctuation=ENABLE_SPOKEN_PUNCTUATION]
[--enable-word-confidence=ENABLE_WORD_CONFIDENCE]
[--enable-word-time-offsets=ENABLE_WORD_TIME_OFFSETS]
[--encoding=ENCODING] [--max-alternatives=MAX_ALTERNATIVES]
[--max-speaker-count=MAX_SPEAKER_COUNT]
[--min-speaker-count=MIN_SPEAKER_COUNT]
[--profanity-filter=PROFANITY_FILTER] [--sample-rate=SAMPLE_RATE]
[--separate-channel-recognition] [GCLOUD_WIDE_FLAG ...]
--model=MODEL [--async] [--display-name=DISPLAY_NAME]
[--audio-channel-count=AUDIO_CHANNEL_COUNT
--encoding=ENCODING --sample-rate=SAMPLE_RATE]
[--enable-automatic-punctuation --enable-spoken-emojis
--enable-spoken-punctuation --enable-word-confidence
--enable-word-time-offsets --max-alternatives=MAX_ALTERNATIVES
--profanity-filter --separate-channel-recognition
--max-speaker-count=MAX_SPEAKER_COUNT
--min-speaker-count=MIN_SPEAKER_COUNT] [GCLOUD_WIDE_FLAG ...]
DESCRIPTION
(ALPHA) Create a speech-to-text recognizer.
@ -59,62 +56,83 @@ REQUIRED FLAGS
using more than one language code.
--model=MODEL
latest_long or latest_short
Which model to use for recognition requests. Select the model best
suited to your domain to get best results. Guidance for choosing which
model to use can be found in the Transcription Models Documentation
(https://cloud.google.com/speech-to-text/v2/docs/transcription-model)
and the models supported in each region can be found in the Table Of
Supported Models
(https://cloud.google.com/speech-to-text/v2/docs/speech-to-text-supported-languages).
OPTIONAL FLAGS
--async
Return immediately, without waiting for the operation in progress to
complete. The default is False.
--audio-channel-count=AUDIO_CHANNEL_COUNT
Number of channels present in the audio data sent for recognition.
Supported for LINEAR16, MULAW, ALAW.
--display-name=DISPLAY_NAME
Name of this recognizer as it appears in UIs.
--enable-automatic-punctuation=ENABLE_AUTOMATIC_PUNCTUATION
If true, adds punctuation to recognition result hypotheses.
Encoding format
--enable-spoken-emojis=ENABLE_SPOKEN_EMOJIS
If true, adds spoken emoji formatting.
--audio-channel-count=AUDIO_CHANNEL_COUNT
Number of channels present in the audio data sent for recognition.
Required if --encoding flag is specified and is not AUTO.
--enable-spoken-punctuation=ENABLE_SPOKEN_PUNCTUATION
If true, replaces spoken punctuation with the corresponding symbols in
the request.
--encoding=ENCODING
Encoding format of the provided audio. For headerless formats, must
be set to LINEAR16, MULAW, or ALAW. For other formats, set to AUTO.
Overrides the recognizer configuration if present, else uses
recognizer encoding.
--enable-word-confidence=ENABLE_WORD_CONFIDENCE
If true, the top result includes a list of words and the confidence for
those words.
--sample-rate=SAMPLE_RATE
Sample rate in Hertz of the audio data sent for recognition. Required
if --encoding flag is specified and is not AUTO.
--enable-word-time-offsets=ENABLE_WORD_TIME_OFFSETS
If true, the top result includes a list of words and their timestamps.
ASR Features
--encoding=ENCODING
Encoding format of the provided audio. For headerless formats, must be
set to LINEAR16, MULAW, or ALAW. For other formats, set to AUTO.
--enable-automatic-punctuation
If true, adds punctuation to recognition result hypotheses.
--max-alternatives=MAX_ALTERNATIVES
Maximum number of recognition hypotheses to be returned. Valid values
are 1-30.
--enable-spoken-emojis
If true, adds spoken emoji formatting.
--max-speaker-count=MAX_SPEAKER_COUNT
Maximum number of speakers in the conversation.
--enable-spoken-punctuation
If true, replaces spoken punctuation with the corresponding symbols
in the request.
--min-speaker-count=MIN_SPEAKER_COUNT
Minimum number of speakers in the conversation.
--enable-word-confidence
If true, the top result includes a list of words and the confidence
for those words.
--profanity-filter=PROFANITY_FILTER
If true, the server will censor profanities.
--enable-word-time-offsets
If true, the top result includes a list of words and their
timestamps.
--sample-rate=SAMPLE_RATE
Sample rate in Hertz of the audio data sent for recognition. Required
if using explicit decoding.
--max-alternatives=MAX_ALTERNATIVES
Maximum number of recognition hypotheses to be returned. Valid values
are 1-30.
--separate-channel-recognition
Mode for recognizing multi-channel audio using Separate Channel
Recognition. When set to true, the service will recognize each channel
independently.
--profanity-filter
If true, the server will censor profanities.
--separate-channel-recognition
Mode for recognizing multi-channel audio using Separate Channel
Recognition. When set to true, the service will recognize each
channel independently.
Speaker Diarization
--max-speaker-count=MAX_SPEAKER_COUNT
Maximum number of speakers in the conversation.
This flag argument must be specified if any of the other arguments
in this group are specified.
--min-speaker-count=MIN_SPEAKER_COUNT
Minimum number of speakers in the conversation.
This flag argument must be specified if any of the other arguments
in this group are specified.
GCLOUD WIDE FLAGS
These flags are available to all commands: --access-token-file, --account,

8
gcloud/alpha/ml/speech/recognizers/help
View file

@ -28,6 +28,14 @@ COMMANDS
list
(ALPHA) List Speech-to-text recognizers.
run-batch
(ALPHA) Get transcripts of long (more than 60 seconds) audio from a
gcloud uri.
run-short
(ALPHA) Get transcripts of short (less than 60 seconds) audio from an
audio file.
update
(ALPHA) Update a Speech-to-text recognizer.

170
gcloud/alpha/ml/speech/recognizers/run-batch Normal file
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@ -0,0 +1,170 @@
NAME
gcloud alpha ml speech recognizers run-batch - get transcripts of long
(more than 60 seconds) audio from a gcloud uri
SYNOPSIS
gcloud alpha ml speech recognizers run-batch
(RECOGNIZER : --location=LOCATION) --audio=AUDIO [--async]
[--hints=[HINTS,...]] [--language-codes=[LANGUAGE_CODE,...]]
[--model=MODEL]
[--audio-channel-count=AUDIO_CHANNEL_COUNT
--encoding=ENCODING --sample-rate=SAMPLE_RATE]
[--[no-]enable-automatic-punctuation --[no-]enable-spoken-emojis
--[no-]enable-spoken-punctuation --[no-]enable-word-confidence
--[no-]enable-word-time-offsets --max-alternatives=MAX_ALTERNATIVES
--[no-]profanity-filter --[no-]separate-channel-recognition
--max-speaker-count=MAX_SPEAKER_COUNT
--min-speaker-count=MIN_SPEAKER_COUNT] [GCLOUD_WIDE_FLAG ...]
DESCRIPTION
(ALPHA) Get transcripts of long (more than 60 seconds) audio from a gcloud
uri.
POSITIONAL ARGUMENTS
Recognizer resource - recognizer. The arguments in this group can be used
to specify the attributes of this resource. (NOTE) Some attributes are not
given arguments in this group but can be set in other ways.
To set the project attribute:
◆ provide the argument recognizer on the command line with a fully
specified name;
◆ set the property core/project;
◆ provide the argument --project on the command line.
This must be specified.
RECOGNIZER
ID of the recognizer or fully qualified identifier for the
recognizer.
To set the recognizer attribute:
▸ provide the argument recognizer on the command line.
This positional argument must be specified if any of the other
arguments in this group are specified.
--location=LOCATION
Location of the recognizer.
To set the location attribute:
▸ provide the argument recognizer on the command line with a fully
specified name;
▸ provide the argument --location on the command line.
REQUIRED FLAGS
--audio=AUDIO
Location of the audio file to transcribe. Must be a audio data bytes,
local file, or Google Cloud Storage URL (in the format
gs://bucket/object).
OPTIONAL FLAGS
--async
Return immediately, without waiting for the operation in progress to
complete. The default is False.
--hints=[HINTS,...]
A list of strings containing word and phrase "hints" so that the '
'speech recognition is more likely to recognize them. This can be '
'used to improve the accuracy for specific words and phrases, ' 'for
example, if specific commands are typically spoken by ' 'the user. This
can also be used to add additional words to the ' 'vocabulary of the
recognizer. ' 'See https://cloud.google.com/speech/limits#content.
--language-codes=[LANGUAGE_CODE,...]
Language code is one of en-US, en-GB, fr-FR. Check documentation
(https://cloud.google.com/speech-to-text/docs/multiple-languages) for
using more than one language code.
--model=MODEL
Which model to use for recognition requests. Select the model best
suited to your domain to get best results. Guidance for choosing which
model to use can be found in the Transcription Models Documentation
(https://cloud.google.com/speech-to-text/v2/docs/transcription-model)
and the models supported in each region can be found in the Table Of
Supported Models
(https://cloud.google.com/speech-to-text/v2/docs/speech-to-text-supported-languages).
Encoding format
--audio-channel-count=AUDIO_CHANNEL_COUNT
Number of channels present in the audio data sent for recognition.
Required if --encoding flag is specified and is not AUTO.
--encoding=ENCODING
Encoding format of the provided audio. For headerless formats, must
be set to LINEAR16, MULAW, or ALAW. For other formats, set to AUTO.
Overrides the recognizer configuration if present, else uses
recognizer encoding.
--sample-rate=SAMPLE_RATE
Sample rate in Hertz of the audio data sent for recognition. Required
if --encoding flag is specified and is not AUTO.
ASR Features
--[no-]enable-automatic-punctuation
If true, adds punctuation to recognition result hypotheses. Use
--enable-automatic-punctuation to enable and
--no-enable-automatic-punctuation to disable.
--[no-]enable-spoken-emojis
If true, adds spoken emoji formatting. Use --enable-spoken-emojis to
enable and --no-enable-spoken-emojis to disable.
--[no-]enable-spoken-punctuation
If true, replaces spoken punctuation with the corresponding symbols
in the request. Use --enable-spoken-punctuation to enable and
--no-enable-spoken-punctuation to disable.
--[no-]enable-word-confidence
If true, the top result includes a list of words and the confidence
for those words. Use --enable-word-confidence to enable and
--no-enable-word-confidence to disable.
--[no-]enable-word-time-offsets
If true, the top result includes a list of words and their
timestamps. Use --enable-word-time-offsets to enable and
--no-enable-word-time-offsets to disable.
--max-alternatives=MAX_ALTERNATIVES
Maximum number of recognition hypotheses to be returned. Valid values
are 1-30.
--[no-]profanity-filter
If true, the server will censor profanities. Use --profanity-filter
to enable and --no-profanity-filter to disable.
--[no-]separate-channel-recognition
Mode for recognizing multi-channel audio using Separate Channel
Recognition. When set to true, the service will recognize each
channel independently. Use --separate-channel-recognition to enable
and --no-separate-channel-recognition to disable.
Speaker Diarization
--max-speaker-count=MAX_SPEAKER_COUNT
Maximum number of speakers in the conversation.
This flag argument must be specified if any of the other arguments
in this group are specified.
--min-speaker-count=MIN_SPEAKER_COUNT
Minimum number of speakers in the conversation.
This flag argument must be specified if any of the other arguments
in this group are specified.
GCLOUD WIDE FLAGS
These flags are available to all commands: --access-token-file, --account,
--billing-project, --configuration, --flags-file, --flatten, --format,
--help, --impersonate-service-account, --log-http, --project, --quiet,
--trace-token, --user-output-enabled, --verbosity.
Run $ gcloud help for details.
NOTES
This command is currently in alpha and might change without notice. If this
command fails with API permission errors despite specifying the correct
project, you might be trying to access an API with an invitation-only early
access allowlist.

165
gcloud/alpha/ml/speech/recognizers/run-short Normal file
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@ -0,0 +1,165 @@
NAME
gcloud alpha ml speech recognizers run-short - get transcripts of short
(less than 60 seconds) audio from an audio file
SYNOPSIS
gcloud alpha ml speech recognizers run-short
(RECOGNIZER : --location=LOCATION) --audio=AUDIO [--hints=[HINTS,...]]
[--language-codes=[LANGUAGE_CODE,...]] [--model=MODEL]
[--audio-channel-count=AUDIO_CHANNEL_COUNT
--encoding=ENCODING --sample-rate=SAMPLE_RATE]
[--[no-]enable-automatic-punctuation --[no-]enable-spoken-emojis
--[no-]enable-spoken-punctuation --[no-]enable-word-confidence
--[no-]enable-word-time-offsets --max-alternatives=MAX_ALTERNATIVES
--[no-]profanity-filter --[no-]separate-channel-recognition
--max-speaker-count=MAX_SPEAKER_COUNT
--min-speaker-count=MIN_SPEAKER_COUNT] [GCLOUD_WIDE_FLAG ...]
DESCRIPTION
(ALPHA) Get transcripts of short (less than 60 seconds) audio from an audio
file.
POSITIONAL ARGUMENTS
Recognizer resource - recognizer. The arguments in this group can be used
to specify the attributes of this resource. (NOTE) Some attributes are not
given arguments in this group but can be set in other ways.
To set the project attribute:
◆ provide the argument recognizer on the command line with a fully
specified name;
◆ set the property core/project;
◆ provide the argument --project on the command line.
This must be specified.
RECOGNIZER
ID of the recognizer or fully qualified identifier for the
recognizer.
To set the recognizer attribute:
▸ provide the argument recognizer on the command line.
This positional argument must be specified if any of the other
arguments in this group are specified.
--location=LOCATION
Location of the recognizer.
To set the location attribute:
▸ provide the argument recognizer on the command line with a fully
specified name;
▸ provide the argument --location on the command line.
REQUIRED FLAGS
--audio=AUDIO
Location of the audio file to transcribe. Must be a audio data bytes,
local file, or Google Cloud Storage URL (in the format
gs://bucket/object).
OPTIONAL FLAGS
--hints=[HINTS,...]
A list of strings containing word and phrase "hints" so that the '
'speech recognition is more likely to recognize them. This can be '
'used to improve the accuracy for specific words and phrases, ' 'for
example, if specific commands are typically spoken by ' 'the user. This
can also be used to add additional words to the ' 'vocabulary of the
recognizer. ' 'See https://cloud.google.com/speech/limits#content.
--language-codes=[LANGUAGE_CODE,...]
Language code is one of en-US, en-GB, fr-FR. Check documentation
(https://cloud.google.com/speech-to-text/docs/multiple-languages) for
using more than one language code.
--model=MODEL
Which model to use for recognition requests. Select the model best
suited to your domain to get best results. Guidance for choosing which
model to use can be found in the Transcription Models Documentation
(https://cloud.google.com/speech-to-text/v2/docs/transcription-model)
and the models supported in each region can be found in the Table Of
Supported Models
(https://cloud.google.com/speech-to-text/v2/docs/speech-to-text-supported-languages).
Encoding format
--audio-channel-count=AUDIO_CHANNEL_COUNT
Number of channels present in the audio data sent for recognition.
Required if --encoding flag is specified and is not AUTO.
--encoding=ENCODING
Encoding format of the provided audio. For headerless formats, must
be set to LINEAR16, MULAW, or ALAW. For other formats, set to AUTO.
Overrides the recognizer configuration if present, else uses
recognizer encoding.
--sample-rate=SAMPLE_RATE
Sample rate in Hertz of the audio data sent for recognition. Required
if --encoding flag is specified and is not AUTO.
ASR Features
--[no-]enable-automatic-punctuation
If true, adds punctuation to recognition result hypotheses. Use
--enable-automatic-punctuation to enable and
--no-enable-automatic-punctuation to disable.
--[no-]enable-spoken-emojis
If true, adds spoken emoji formatting. Use --enable-spoken-emojis to
enable and --no-enable-spoken-emojis to disable.
--[no-]enable-spoken-punctuation
If true, replaces spoken punctuation with the corresponding symbols
in the request. Use --enable-spoken-punctuation to enable and
--no-enable-spoken-punctuation to disable.
--[no-]enable-word-confidence
If true, the top result includes a list of words and the confidence
for those words. Use --enable-word-confidence to enable and
--no-enable-word-confidence to disable.
--[no-]enable-word-time-offsets
If true, the top result includes a list of words and their
timestamps. Use --enable-word-time-offsets to enable and
--no-enable-word-time-offsets to disable.
--max-alternatives=MAX_ALTERNATIVES
Maximum number of recognition hypotheses to be returned. Valid values
are 1-30.
--[no-]profanity-filter
If true, the server will censor profanities. Use --profanity-filter
to enable and --no-profanity-filter to disable.
--[no-]separate-channel-recognition
Mode for recognizing multi-channel audio using Separate Channel
Recognition. When set to true, the service will recognize each
channel independently. Use --separate-channel-recognition to enable
and --no-separate-channel-recognition to disable.
Speaker Diarization
--max-speaker-count=MAX_SPEAKER_COUNT
Maximum number of speakers in the conversation.
This flag argument must be specified if any of the other arguments
in this group are specified.
--min-speaker-count=MIN_SPEAKER_COUNT
Minimum number of speakers in the conversation.
This flag argument must be specified if any of the other arguments
in this group are specified.
GCLOUD WIDE FLAGS
These flags are available to all commands: --access-token-file, --account,
--billing-project, --configuration, --flags-file, --flatten, --format,
--help, --impersonate-service-account, --log-http, --project, --quiet,
--trace-token, --user-output-enabled, --verbosity.
Run $ gcloud help for details.
NOTES
This command is currently in alpha and might change without notice. If this
command fails with API permission errors despite specifying the correct
project, you might be trying to access an API with an invitation-only early
access allowlist.

143
gcloud/alpha/ml/speech/recognizers/update
View file

@ -5,19 +5,16 @@ NAME
SYNOPSIS
gcloud alpha ml speech recognizers update
(RECOGNIZER : --location=LOCATION) [--async]
[--audio-channel-count=AUDIO_CHANNEL_COUNT]
[--display-name=DISPLAY_NAME]
[--enable-automatic-punctuation=ENABLE_AUTOMATIC_PUNCTUATION]
[--enable-spoken-emojis=ENABLE_SPOKEN_EMOJIS]
[--enable-spoken-punctuation=ENABLE_SPOKEN_PUNCTUATION]
[--enable-word-confidence=ENABLE_WORD_CONFIDENCE]
[--enable-word-time-offsets=ENABLE_WORD_TIME_OFFSETS]
[--encoding=ENCODING] [--language-codes=[LANGUAGE_CODE,...]]
[--max-alternatives=MAX_ALTERNATIVES]
[--max-speaker-count=MAX_SPEAKER_COUNT]
[--min-speaker-count=MIN_SPEAKER_COUNT] [--model=MODEL]
[--profanity-filter=PROFANITY_FILTER] [--sample-rate=SAMPLE_RATE]
[--[no-]separate-channel-recognition] [GCLOUD_WIDE_FLAG ...]
[--display-name=DISPLAY_NAME] [--language-codes=[LANGUAGE_CODE,...]]
[--model=MODEL]
[--audio-channel-count=AUDIO_CHANNEL_COUNT
--encoding=ENCODING --sample-rate=SAMPLE_RATE]
[--[no-]enable-automatic-punctuation --[no-]enable-spoken-emojis
--[no-]enable-spoken-punctuation --[no-]enable-word-confidence
--[no-]enable-word-time-offsets --max-alternatives=MAX_ALTERNATIVES
--[no-]profanity-filter --[no-]separate-channel-recognition
--max-speaker-count=MAX_SPEAKER_COUNT
--min-speaker-count=MIN_SPEAKER_COUNT] [GCLOUD_WIDE_FLAG ...]
DESCRIPTION
(ALPHA) Update a Speech-to-text recognizer.
@ -58,64 +55,92 @@ FLAGS
Return immediately, without waiting for the operation in progress to
complete. The default is False.
--audio-channel-count=AUDIO_CHANNEL_COUNT
Number of channels present in the audio data sent for recognition.
Supported for LINEAR16, MULAW, ALAW.
--display-name=DISPLAY_NAME
Name of this recognizer as it appears in UIs.
--enable-automatic-punctuation=ENABLE_AUTOMATIC_PUNCTUATION
If true, adds punctuation to recognition result hypotheses.
--enable-spoken-emojis=ENABLE_SPOKEN_EMOJIS
If true, adds spoken emoji formatting.
--enable-spoken-punctuation=ENABLE_SPOKEN_PUNCTUATION
If true, replaces spoken punctuation with the corresponding symbols in
the request.
--enable-word-confidence=ENABLE_WORD_CONFIDENCE
If true, the top result includes a list of words and the confidence for
those words.
--enable-word-time-offsets=ENABLE_WORD_TIME_OFFSETS
If true, the top result includes a list of words and their timestamps.
--encoding=ENCODING
Encoding format of the provided audio. For headerless formats, must be
set to LINEAR16, MULAW, or ALAW. For other formats, set to AUTO.
--language-codes=[LANGUAGE_CODE,...]
Language code is one of en-US, en-GB, fr-FR. Check documentation
(https://cloud.google.com/speech-to-text/docs/multiple-languages) for
using more than one language code.
--max-alternatives=MAX_ALTERNATIVES
Maximum number of recognition hypotheses to be returned. Valid values
are 1-30.
--max-speaker-count=MAX_SPEAKER_COUNT
Maximum number of speakers in the conversation.
--min-speaker-count=MIN_SPEAKER_COUNT
Minimum number of speakers in the conversation.
--model=MODEL
latest_long or latest_short
Which model to use for recognition requests. Select the model best
suited to your domain to get best results. Guidance for choosing which
model to use can be found in the Transcription Models Documentation
(https://cloud.google.com/speech-to-text/v2/docs/transcription-model)
and the models supported in each region can be found in the Table Of
Supported Models
(https://cloud.google.com/speech-to-text/v2/docs/speech-to-text-supported-languages).
--profanity-filter=PROFANITY_FILTER
If true, the server will censor profanities.
Encoding format
--sample-rate=SAMPLE_RATE
Sample rate in Hertz of the audio data sent for recognition. Required
if using explicit decoding.
--audio-channel-count=AUDIO_CHANNEL_COUNT
Number of channels present in the audio data sent for recognition.
Required if --encoding flag is specified and is not AUTO.
--[no-]separate-channel-recognition
Mode for recognizing multi-channel audio using Separate Channel
Recognition. When set to true, the service will recognize each channel
independently. Use --separate-channel-recognition to enable and
--no-separate-channel-recognition to disable.
--encoding=ENCODING
Encoding format of the provided audio. For headerless formats, must
be set to LINEAR16, MULAW, or ALAW. For other formats, set to AUTO.
Overrides the recognizer configuration if present, else uses
recognizer encoding.
--sample-rate=SAMPLE_RATE
Sample rate in Hertz of the audio data sent for recognition. Required
if --encoding flag is specified and is not AUTO.
ASR Features
--[no-]enable-automatic-punctuation
If true, adds punctuation to recognition result hypotheses. Use
--enable-automatic-punctuation to enable and
--no-enable-automatic-punctuation to disable.
--[no-]enable-spoken-emojis
If true, adds spoken emoji formatting. Use --enable-spoken-emojis to
enable and --no-enable-spoken-emojis to disable.
--[no-]enable-spoken-punctuation
If true, replaces spoken punctuation with the corresponding symbols
in the request. Use --enable-spoken-punctuation to enable and
--no-enable-spoken-punctuation to disable.
--[no-]enable-word-confidence
If true, the top result includes a list of words and the confidence
for those words. Use --enable-word-confidence to enable and
--no-enable-word-confidence to disable.
--[no-]enable-word-time-offsets
If true, the top result includes a list of words and their
timestamps. Use --enable-word-time-offsets to enable and
--no-enable-word-time-offsets to disable.
--max-alternatives=MAX_ALTERNATIVES
Maximum number of recognition hypotheses to be returned. Valid values
are 1-30.
--[no-]profanity-filter
If true, the server will censor profanities. Use --profanity-filter
to enable and --no-profanity-filter to disable.
--[no-]separate-channel-recognition
Mode for recognizing multi-channel audio using Separate Channel
Recognition. When set to true, the service will recognize each
channel independently. Use --separate-channel-recognition to enable
and --no-separate-channel-recognition to disable.
Speaker Diarization
--max-speaker-count=MAX_SPEAKER_COUNT
Maximum number of speakers in the conversation.
This flag argument must be specified if any of the other arguments
in this group are specified.
--min-speaker-count=MIN_SPEAKER_COUNT
Minimum number of speakers in the conversation.
This flag argument must be specified if any of the other arguments
in this group are specified.
GCLOUD WIDE FLAGS
These flags are available to all commands: --access-token-file, --account,