Google Cloud Speech Client for Java

Java idiomatic client for Cloud Speech.

• Product Documentation
• Client Library Documentation

Quickstart

If you are using Maven with BOM, add this to your pom.xml file

<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>8.1.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>

<dependencies>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-speech</artifactId>
  </dependency>
</dependencies>

If you are using Maven without BOM, add this to your dependencies:

<dependency>
  <groupId>com.google.cloud</groupId>
  <artifactId>google-cloud-speech</artifactId>
  <version>1.24.0</version>
</dependency>

If you are using Gradle, add this to your dependencies

compile 'com.google.cloud:google-cloud-speech:1.24.0'

If you are using SBT, add this to your dependencies

libraryDependencies += "com.google.cloud" % "google-cloud-speech" % "1.24.0"

Authentication

See the Authentication section in the base directory's README.

Getting Started

Prerequisites

You will need a Google Cloud Platform Console project with the Cloud Speech API enabled.

Follow these instructions to get your project set up. You will also need to set up the local development environment by installing the Google Cloud SDK and running the following commands in command line: gcloud auth login and gcloud config set project [YOUR PROJECT ID].

Installation and setup

You'll need to obtain the google-cloud-speech library. See the Quickstart section to add google-cloud-speech as a dependency in your code.

About Cloud Speech

Cloud Speech enables easy integration of Google speech recognition technologies into developer applications. Send audio and receive a text transcription from the Speech-to-Text API service.

See the Cloud Speech client library docs to learn how to use this Cloud Speech Client Library.

Recognizing speech

The following code sample shows how to recognize speech using an audio file from a Cloud Storage bucket as input. First, add the following imports at the top of your file:

import com.google.cloud.speech.v1.SpeechClient;
import com.google.cloud.speech.v1.RecognitionAudio;
import com.google.cloud.speech.v1.RecognitionConfig;
import com.google.cloud.speech.v1.RecognitionConfig.AudioEncoding;
import com.google.cloud.speech.v1.RecognizeResponse;

Then add the following code to do the speech recognization:

 try (SpeechClient speechClient = SpeechClient.create()) {
   RecognitionConfig.AudioEncoding encoding = RecognitionConfig.AudioEncoding.FLAC;
   int sampleRateHertz = 44100;
   String languageCode = "en-US";
   RecognitionConfig config = RecognitionConfig.newBuilder()
     .setEncoding(encoding)
     .setSampleRateHertz(sampleRateHertz)
     .setLanguageCode(languageCode)
     .build();
   String uri = "gs://bucket_name/file_name.flac";
   RecognitionAudio audio = RecognitionAudio.newBuilder()
     .setUri(uri)
     .build();
   RecognizeResponse response = speechClient.recognize(config, audio);
 }

Complete source code

In RecognizeSpeech.java we put a quick start example, which shows how you can use Google Speech API to automatically recognize speech based on a local file.

For an example audio file, you can use the audio.raw file from the samples repository. Note, to play the file on Unix-like system you may use the following command: play -t raw -r 16k -e signed -b 16 -c 1 audio.raw

Samples

Samples are in the samples/ directory. The samples' README.md has instructions for running the samples.

Sample	Source Code	Try it
Transcribe Audio File using Long Running Operation (Local File) (LRO)	source code
Transcript Audio File using Long Running Operation (Cloud Storage) (LRO)	source code
Getting word timestamps (Cloud Storage) (LRO)	source code
Using Enhanced Models (Local File)	source code
Selecting a Transcription Model (Local File)	source code
Selecting a Transcription Model (Cloud Storage)	source code
Multi-Channel Audio Transcription (Local File)	source code
Multi-Channel Audio Transcription (Cloud Storage)	source code
Transcribe Audio File (Local File)	source code
Transcript Audio File (Cloud Storage)	source code
Speech Adaptation (Cloud Storage)	source code
Using Context Classes (Cloud Storage)	source code
Quickstart Beta	source code
Getting punctuation in results (Local File) (Beta)	source code
Separating different speakers (Local File) (LRO) (Beta)	source code
Detecting language spoken automatically (Local File) (Beta)	source code
Adding recognition metadata (Local File) (Beta)	source code
Enabling word-level confidence (Local File) (Beta)	source code
Infinite Stream Recognize	source code
Infinite Stream Recognize Options	source code
Quickstart Sample	source code
Recognize	source code
Recognize Beta	source code
Speech Adaptation	source code
Transcribe Context Classes	source code
Transcribe Diarization	source code
Transcribe Diarization Gcs	source code

Troubleshooting

To get help, follow the instructions in the shared Troubleshooting document.

Transport

Cloud Speech uses gRPC for the transport layer.

Java Versions

Java 7 or above is required for using this client.

Versioning

This library follows Semantic Versioning.

Contributing

Contributions to this library are always welcome and highly encouraged.

See CONTRIBUTING for more information how to get started.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms. See Code of Conduct for more information.

License

Apache 2.0 - See LICENSE for more information.

CI Status

Java Version	Status
Java 7
Java 8
Java 8 OSX
Java 8 Windows
Java 11