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Add Speech beta samples
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‎speech/cloud-client/speech_adaptation_beta.py

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# -*- coding: utf-8 -*-
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#
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# Copyright 2019 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# DO NOT EDIT! This is a generated sample ("Request", "speech_adaptation_beta")
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# To install the latest published package dependency, execute the following:
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# pip install google-cloud-speech
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# sample-metadata
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# title:
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# description: Performs synchronous speech recognition with speech adaptation.
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# usage: python3 samples/v1p1beta1/speech_adaptation_beta.py [--sample_rate_hertz 44100] [--language_code "en-US"] [--phrase "Brooklyn Bridge"] [--boost 20] [--uri_path "gs://cloud-samples-data/speech/brooklyn_bridge.mp3"]
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import sys
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# [START speech_adaptation_beta]
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from google.cloud import speech_v1p1beta1
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from google.cloud.speech_v1p1beta1 import enums
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import six
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def sample_recognize(sample_rate_hertz, language_code, phrase, boost, uri_path):
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"""
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Performs synchronous speech recognition with speech adaptation.
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Args:
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sample_rate_hertz Sample rate in Hertz of the audio data sent in all
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`RecognitionAudio` messages. Valid values are: 8000-48000.
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language_code The language of the supplied audio.
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phrase Phrase "hints" help Speech-to-Text API recognize the specified phrases
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from your audio data.
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boost Positive value will increase the probability that a specific phrase will
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be recognized over other similar sounding phrases.
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uri_path Path to the audio file stored on GCS.
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"""
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# [START speech_adaptation_beta_core]
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client = speech_v1p1beta1.SpeechClient()
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# sample_rate_hertz = 44100
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# language_code = 'en-US'
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# phrase = 'Brooklyn Bridge'
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# boost = 20
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# uri_path = 'gs://cloud-samples-data/speech/brooklyn_bridge.mp3'
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if isinstance(language_code, six.binary_type):
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language_code = language_code.decode("utf-8")
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if isinstance(phrase, six.binary_type):
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phrase = phrase.decode("utf-8")
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if isinstance(uri_path, six.binary_type):
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uri_path = uri_path.decode("utf-8")
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encoding = enums.RecognitionConfig.AudioEncoding.MP3
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phrases = [phrase]
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speech_contexts_element = {"phrases": phrases, "boost": boost}
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speech_contexts = [speech_contexts_element]
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config = {
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"encoding": encoding,
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"sample_rate_hertz": sample_rate_hertz,
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"language_code": language_code,
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"speech_contexts": speech_contexts,
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}
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audio = {"uri": uri_path}
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response = client.recognize(config, audio)
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for result in response.results:
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# First alternative is the most probable result
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alternative = result.alternatives[0]
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print("Transcript: {}".format(alternative.transcript))
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# [END speech_adaptation_beta_core]
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# [END speech_adaptation_beta]
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def main():
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument("--sample_rate_hertz", type=int, default=44100)
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parser.add_argument("--language_code", type=str, default="en-US")
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parser.add_argument("--phrase", type=str, default="Brooklyn Bridge")
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parser.add_argument("--boost", type=float, default=20)
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parser.add_argument(
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"--uri_path",
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type=str,
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default="gs://cloud-samples-data/speech/brooklyn_bridge.mp3",
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)
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args = parser.parse_args()
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sample_recognize(
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args.sample_rate_hertz,
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args.language_code,
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args.phrase,
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args.boost,
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args.uri_path,
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)
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if __name__ == "__main__":
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main()

‎speech/cloud-client/speech_contexts_classes_beta.py

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# -*- coding: utf-8 -*-
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#
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# Copyright 2019 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# DO NOT EDIT! This is a generated sample ("Request", "speech_contexts_classes_beta")
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# To install the latest published package dependency, execute the following:
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# pip install google-cloud-speech
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# sample-metadata
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# title:
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# description: Performs synchronous speech recognition with static context classes.
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# usage: python3 samples/v1p1beta1/speech_contexts_classes_beta.py [--sample_rate_hertz 24000] [--language_code "en-US"] [--phrase "$TIME"] [--uri_path "gs://cloud-samples-data/speech/time.mp3"]
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import sys
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# [START speech_contexts_classes_beta]
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from google.cloud import speech_v1p1beta1
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from google.cloud.speech_v1p1beta1 import enums
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import six
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def sample_recognize(sample_rate_hertz, language_code, phrase, uri_path):
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"""
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Performs synchronous speech recognition with static context classes.
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Args:
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sample_rate_hertz Sample rate in Hertz of the audio data sent in all
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`RecognitionAudio` messages. Valid values are: 8000-48000.
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language_code The language of the supplied audio.
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phrase Phrase "hints" help Speech-to-Text API recognize the specified phrases
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from your audio data. In this sample we are using a static class phrase
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($TIME). Classes represent groups of words that represent common concepts that
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occur in natural language. We recommend checking out the docs page for more
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info on static classes.
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uri_path Path to the audio file stored on GCS.
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"""
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# [START speech_contexts_classes_beta_core]
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client = speech_v1p1beta1.SpeechClient()
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# sample_rate_hertz = 24000
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# language_code = 'en-US'
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# phrase = '$TIME'
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# uri_path = 'gs://cloud-samples-data/speech/time.mp3'
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if isinstance(language_code, six.binary_type):
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language_code = language_code.decode("utf-8")
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if isinstance(phrase, six.binary_type):
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phrase = phrase.decode("utf-8")
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if isinstance(uri_path, six.binary_type):
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uri_path = uri_path.decode("utf-8")
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encoding = enums.RecognitionConfig.AudioEncoding.MP3
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phrases = [phrase]
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speech_contexts_element = {"phrases": phrases}
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speech_contexts = [speech_contexts_element]
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config = {
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"encoding": encoding,
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"sample_rate_hertz": sample_rate_hertz,
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"language_code": language_code,
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"speech_contexts": speech_contexts,
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}
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audio = {"uri": uri_path}
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response = client.recognize(config, audio)
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for result in response.results:
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# First alternative is the most probable result
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alternative = result.alternatives[0]
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print("Transcript: {}".format(alternative.transcript))
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# [END speech_contexts_classes_beta_core]
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# [END speech_contexts_classes_beta]
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def main():
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument("--sample_rate_hertz", type=int, default=24000)
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parser.add_argument("--language_code", type=str, default="en-US")
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parser.add_argument("--phrase", type=str, default="$TIME")
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parser.add_argument(
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"--uri_path", type=str, default="gs://cloud-samples-data/speech/time.mp3"
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)
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args = parser.parse_args()
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sample_recognize(
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args.sample_rate_hertz, args.language_code, args.phrase, args.uri_path
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)
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if __name__ == "__main__":
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main()

‎speech/cloud-client/speech_quickstart_beta.py

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# -*- coding: utf-8 -*-
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#
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# Copyright 2019 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# DO NOT EDIT! This is a generated sample ("Request", "speech_quickstart_beta")
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# To install the latest published package dependency, execute the following:
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# pip install google-cloud-speech
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# sample-metadata
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# title:
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# description: Performs synchronous speech recognition on an audio file.
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# usage: python3 samples/v1p1beta1/speech_quickstart_beta.py [--sample_rate_hertz 44100] [--language_code "en-US"] [--uri_path "gs://cloud-samples-data/speech/brooklyn_bridge.mp3"]
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import sys
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# [START speech_quickstart_beta]
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from google.cloud import speech_v1p1beta1
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from google.cloud.speech_v1p1beta1 import enums
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import six
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def sample_recognize(sample_rate_hertz, language_code, uri_path):
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"""
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Performs synchronous speech recognition on an audio file.
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Args:
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sample_rate_hertz Sample rate in Hertz of the audio data sent in all
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`RecognitionAudio` messages. Valid values are: 8000-48000.
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language_code The language of the supplied audio.
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uri_path Path to the audio file stored on GCS.
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"""
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# [START speech_quickstart_beta_core]
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client = speech_v1p1beta1.SpeechClient()
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# sample_rate_hertz = 44100
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# language_code = 'en-US'
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# uri_path = 'gs://cloud-samples-data/speech/brooklyn_bridge.mp3'
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if isinstance(language_code, six.binary_type):
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language_code = language_code.decode("utf-8")
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if isinstance(uri_path, six.binary_type):
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uri_path = uri_path.decode("utf-8")
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encoding = enums.RecognitionConfig.AudioEncoding.MP3
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config = {
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"encoding": encoding,
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"sample_rate_hertz": sample_rate_hertz,
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"language_code": language_code,
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}
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audio = {"uri": uri_path}
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response = client.recognize(config, audio)
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for result in response.results:
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transcript = result.alternatives[0].transcript
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print("Transcript: {}".format(transcript))
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# [END speech_quickstart_beta_core]
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# [END speech_quickstart_beta]
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def main():
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument("--sample_rate_hertz", type=int, default=44100)
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parser.add_argument("--language_code", type=str, default="en-US")
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parser.add_argument(
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"--uri_path",
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type=str,
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default="gs://cloud-samples-data/speech/brooklyn_bridge.mp3",
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)
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args = parser.parse_args()
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sample_recognize(args.sample_rate_hertz, args.language_code, args.uri_path)
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if __name__ == "__main__":
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main()

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