This directory contains samples for Google Cloud Speech API. The Google Cloud Speech API enables easy integration of Google speech recognition technologies into developer applications. Send audio and receive a text transcription from the Cloud Speech API service.
- See the migration guide for information about migrating to Python client library v0.27.
This sample requires you to have authentication setup. Refer to the Authentication Getting Started Guide for instructions on setting up credentials for applications.
Clone python-docs-samples and change directory to the sample directory you want to use.
$ git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git
Install pip and virtualenv if you do not already have them. You may want to refer to the Python Development Environment Setup Guide for Google Cloud Platform for instructions.
Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+.
$ virtualenv env $ source env/bin/activateInstall the dependencies needed to run the samples.
$ pip install -r requirements.txt
To run this sample:
$ python quickstart.py
To run this sample:
$ python transcribe.py usage: transcribe.py [-h] path Google Cloud Speech API sample application using the REST API for batch processing. Example usage: python transcribe.py resources/audio.raw python transcribe.py gs://cloud-samples-tests/speech/brooklyn.flac positional arguments: path File or GCS path for audio file to be recognized optional arguments: -h, --help show this help message and exit
To run this sample:
$ python transcribe_async.py usage: transcribe_async.py [-h] path Google Cloud Speech API sample application using the REST API for async batch processing. Example usage: python transcribe_async.py resources/audio.raw python transcribe_async.py gs://cloud-samples-tests/speech/vr.flac positional arguments: path File or GCS path for audio file to be recognized optional arguments: -h, --help show this help message and exit
To run this sample:
$ python transcribe_word_time_offsets.py usage: transcribe_word_time_offsets.py [-h] path Google Cloud Speech API sample that demonstrates word time offsets. Example usage: python transcribe_word_time_offsets.py resources/audio.raw python transcribe_word_time_offsets.py gs://cloud-samples-tests/speech/vr.flac positional arguments: path File or GCS path for audio file to be recognized optional arguments: -h, --help show this help message and exit
To run this sample:
$ python transcribe_streaming.py usage: transcribe_streaming.py [-h] stream Google Cloud Speech API sample application using the streaming API. Example usage: python transcribe_streaming.py resources/audio.raw positional arguments: stream File to stream to the API optional arguments: -h, --help show this help message and exit
To run this sample:
$ python transcribe_enhanced_model.py usage: transcribe_enhanced_model.py [-h] path Google Cloud Speech API sample that demonstrates enhanced models and recognition metadata. Example usage: python transcribe_enhanced_model.py resources/commercial_mono.wav positional arguments: path File to stream to the API optional arguments: -h, --help show this help message and exit
To run this sample:
$ python transcribe_auto_punctuation.py usage: transcribe_auto_punctuation.py [-h] path Google Cloud Speech API sample that demonstrates auto punctuation and recognition metadata. Example usage: python transcribe_auto_punctuation.py resources/commercial_mono.wav positional arguments: path File to stream to the API optional arguments: -h, --help show this help message and exit
To run this sample:
$ python beta_snippets.py usage: beta_snippets.py [-h] command Google Cloud Speech API sample that demonstrates enhanced models and recognition metadata. Example usage: python beta_snippets.py enhanced-model python beta_snippets.py metadata python beta_snippets.py punctuation python beta_snippets.py diarization python beta_snippets.py multi-channel python beta_snippets.py multi-language python beta_snippets.py word-level-conf positional arguments: command optional arguments: -h, --help show this help message and exitThis sample uses the Google Cloud Client Library for Python. You can read the documentation for more details on API usage and use GitHub to browse the source and report issues.