google-cloud-speech 1.3.3

Google Cloud Speech API client library

The Cloud Speech API enables developers to convert audio to text by applying powerful neural network models. The API recognizes over 80 languages and variants, to support your global user base.

• Client Library Documentation

• Product Documentation

Quick Start

In order to use this library, you first need to go through the following steps:

1. Select or create a Cloud Platform project.

2. Enable billing for your project.

3. Enable the Cloud Speech API.

4. Setup Authentication.

Installation

Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

Supported Python Versions

Python >= 3.5

Deprecated Python Versions

Python == 2.7

Mac/Linux

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-speech

Windows

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-speech

Example Usage

from google.cloud import speech_v1
from google.cloud.speech_v1 import enums

client = speech_v1.SpeechClient()

encoding = enums.RecognitionConfig.AudioEncoding.FLAC
sample_rate_hertz = 44100
language_code = 'en-US'
config = {'encoding': encoding, 'sample_rate_hertz': sample_rate_hertz, 'language_code': language_code}
uri = 'gs://bucket_name/file_name.flac'
audio = {'uri': uri}

response = client.recognize(config, audio)

Next Steps

• Read the Client Library Documentation for Cloud Speech API API to see other available methods on the client.

• Read the Product documentation to learn more about the product and see How-to Guides. APIs that we cover.