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gcloud: Tue Mar 1 21:43:54 UTC 2022

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Automated 2022-03-01 21:43:54 +00:00
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10
gcloud/alpha/ml/speech/recognize
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@ -42,8 +42,8 @@ EXAMPLES
custom sampling rate and encoding that uses hints and filters profanity:
$ gcloud alpha ml speech recognize 'gs://bucket/myaudio' \
--language-code=es-ES --sample-rate=2200 --hints=Bueno \
--encoding=OGG_OPUS --filter-profanity
--language-code=es-ES --sample-rate=2200 --hints=Bueno \
--encoding=OGG_OPUS --filter-profanity
POSITIONAL ARGUMENTS
AUDIO
@ -117,6 +117,12 @@ OPTIONAL FLAGS
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.
phone_call
audio that originated from a phone call (typically recorded at an
8khz sampling rate).

6
gcloud/alpha/ml/speech/recognize-long-running
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@ -126,6 +126,12 @@ OPTIONAL FLAGS
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.
phone_call
audio that originated from a phone call (typically recorded at an
8khz sampling rate).