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Create and use Recognizers
Store and reuse recognition configuration using Recognizers.
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Automatically detect spoken language
Provide multiple language codes for audio transcription requests sent to Cloud Speech-to-Text.
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Select a transcription model
Select a specialized machine learning model for audio transcription.
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Transcribe audio with multiple-channels
Transcribe audio files that include more than one channel.
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Get automatic punctuation
Include punctuation in transcription results from Speech-to-Text.
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Enable word-level confidence
Specify that transcriptions should contain an accuracy indication for individual words.
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Enable spoken punctuation and spoken emojis
Perform speech recognition on a remote file and include time offset (timestamp) values for recognized words.
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Encrypt Speech-to-Text resources
Encrypt Speech-to-Text resources using customer-managed encryption keys (CMEK).
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Transcribe audio with Chirp
Perform speech recognition using Chirp, the latest universal speech model.
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Transcribe audio with conformer models
Perform speech recognition using latest conformer models offered by Speech-to-Text.
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Transcribe audio with medical models
Perform speech recognition using models tuned for medical dictation and medical conversation.