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transcribe_context_classes.py
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47 lines (40 loc) · 2 KB
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# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
def transcribe_context_classes(storage_uri):
"""Provides "hints" to the speech recognizer to
favor specific classes of words in the results."""
# [START speech_context_classes]
from google.cloud import speech
client = speech.SpeechClient()
# storage_uri = 'gs://YOUR_BUCKET_ID/path/to/your/file.wav'
audio = speech.types.RecognitionAudio(uri=storage_uri)
# SpeechContext: to configure your speech_context see:
# https://cloud.google.com/speech-to-text/docs/reference/rpc/google.cloud.speech.v1#speechcontext
# Full list of supported phrases (class tokens) here:
# https://cloud.google.com/speech-to-text/docs/class-tokens
speech_context = speech.types.SpeechContext(phrases=['$TIME'])
# RecognitionConfig: to configure your encoding and sample_rate_hertz, see:
# https://cloud.google.com/speech-to-text/docs/reference/rpc/google.cloud.speech.v1#recognitionconfig
config = speech.types.RecognitionConfig(
encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=8000,
language_code='en-US',
speech_contexts=[speech_context])
response = client.recognize(config, audio)
for i, result in enumerate(response.results):
alternative = result.alternatives[0]
print('-' * 20)
print('First alternative of result {}'.format(i))
print('Transcript: {}'.format(alternative.transcript))
# [END speech_context_classes]