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add speech api multichannel samples #2003
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nnegrey
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GoogleCloudPlatform:master
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dizcology:speech-multichannel
Feb 22, 2019
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1f8889b
add speech api multichannel samples
dizcology 941d86e
udpate copyright year
dizcology 12fec57
test with multichannel audio data
dizcology e1219e1
flake
dizcology 81d49f5
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dizcology 0831ffc
Merge branch 'master' into speech-multichannel
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#!/usr/bin/env python | ||
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# Copyright 2019 Google Inc. All Rights Reserved. | ||
# | ||
# 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. | ||
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"""Google Cloud Speech API sample that demonstrates enhanced models | ||
and recognition metadata. | ||
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Example usage: | ||
python transcribe_multichannel.py resources/audio.raw | ||
python transcribe_multichannel.py \ | ||
gs://cloud-samples-tests/speech/Google_Gnome.wav | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Should we put this in the storage-samples project? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. done |
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""" | ||
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import argparse | ||
import io | ||
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def transcribe_file_with_multichannel(speech_file): | ||
"""Transcribe the given audio file synchronously with | ||
multi channel.""" | ||
# [START speech_transcribe_multichannel] | ||
from google.cloud import speech | ||
client = speech.SpeechClient() | ||
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with open(speech_file, 'rb') as audio_file: | ||
content = audio_file.read() | ||
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audio = speech.types.RecognitionAudio(content=content) | ||
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config = speech.types.RecognitionConfig( | ||
encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16, | ||
sample_rate_hertz=16000, | ||
language_code='en-US', | ||
audio_channel_count=1, | ||
enable_separate_recognition_per_channel=True) | ||
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response = client.recognize(config, audio) | ||
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for i, result in enumerate(response.results): | ||
alternative = result.alternatives[0] | ||
print('-' * 20) | ||
print('First alternative of result {}'.format(i)) | ||
print(u'Transcript: {}'.format(alternative.transcript)) | ||
print(u'Channel Tag: {}'.format(result.channel_tag)) | ||
# [END speech_transcribe_multichannel] | ||
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def transcribe_gcs_with_multichannel(gcs_uri): | ||
"""Transcribe the given audio file on GCS with | ||
multi channel.""" | ||
# [START speech_transcribe_multichannel_gcs] | ||
from google.cloud import speech | ||
client = speech.SpeechClient() | ||
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audio = speech.types.RecognitionAudio(uri=gcs_uri) | ||
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config = speech.types.RecognitionConfig( | ||
encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16, | ||
sample_rate_hertz=16000, | ||
language_code='en-US', | ||
audio_channel_count=1, | ||
enable_separate_recognition_per_channel=True) | ||
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response = client.recognize(config, audio) | ||
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for i, result in enumerate(response.results): | ||
alternative = result.alternatives[0] | ||
print('-' * 20) | ||
print('First alternative of result {}'.format(i)) | ||
print(u'Transcript: {}'.format(alternative.transcript)) | ||
print(u'Channel Tag: {}'.format(result.channel_tag)) | ||
# [END speech_transcribe_multichannel_gcs] | ||
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if __name__ == '__main__': | ||
parser = argparse.ArgumentParser( | ||
description=__doc__, | ||
formatter_class=argparse.RawDescriptionHelpFormatter) | ||
parser.add_argument( | ||
'path', help='File or GCS path for audio file to be recognized') | ||
args = parser.parse_args() | ||
if args.path.startswith('gs://'): | ||
transcribe_gcs_with_multichannel(args.path) | ||
else: | ||
transcribe_file_with_multichannel(args.path) |
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# Copyright 2019, Google, Inc. | ||
# 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. | ||
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import os | ||
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from transcribe_multichannel import ( | ||
transcribe_file_with_multichannel, | ||
transcribe_gcs_with_multichannel) | ||
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RESOURCES = os.path.join(os.path.dirname(__file__), 'resources') | ||
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def test_transcribe_multichannel_file(capsys): | ||
transcribe_file_with_multichannel( | ||
os.path.join(RESOURCES, 'Google_Gnome.wav')) | ||
out, err = capsys.readouterr() | ||
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assert 'OK Google stream stranger things from Netflix to my TV' in out | ||
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def test_transcribe_multichannel_gcs(capsys): | ||
transcribe_gcs_with_multichannel( | ||
'gs://cloud-samples-tests/speech/Google_Gnome.wav') | ||
out, err = capsys.readouterr() | ||
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assert 'OK Google stream stranger things from Netflix to my TV' in out | ||
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done