Using Enhanced Model In Google Cloud Speech Api

I'm trying to use the enhanced models on the Google Speech API like: gcs_uri='gs://mybucket/averylongaudiofile.ogg' client = speech.SpeechClient() audio = types.RecognitionAudio

Solution 1:

You can use "use_enhanced" in the RecognitionConfig type in the v1p1beta1 package.

To be able to run your example, you just have to modify the imports you have, to something like the following:

import google.cloud.speech_v1p1beta1 as speech
gcs_uri="gs://mybucket/averylongaudiofile.ogg"

client = speech.SpeechClient()
audio = speech.types.RecognitionAudio(uri=gcs_uri)
config = speech.types.RecognitionConfig(
        encoding=speech.enums.RecognitionConfig.AudioEncoding.OGG_OPUS,
        language_code='en-US',
        sample_rate_hertz=48000,
        use_enhanced=True,
        model='phone_call',
        enable_word_time_offsets=True,
        enable_automatic_punctuation=True)
operation = client.long_running_recognize(config, audio)