快速入门：使用客户端库

本快速入门为您介绍 Text-to-Speech。在本快速入门中，您可以设置 Google Cloud Platform 项目和授权，然后向 Text-to-Speech 发出从文本创建音频的请求。

如需详细了解 Text-to-Speech 中的基本概念，请阅读 Text-to-Speech 基础知识。

准备工作

  1. 登录您的 Google Cloud 帐号。如果您是 Google Cloud 新手，请创建一个帐号来评估我们的产品在实际场景中的表现。新客户还可获享 $300 赠金，用于运行、测试和部署工作负载。

  2. 在 Google Cloud Console 的项目选择器页面上，选择或创建一个 Google Cloud 项目。

    转到“项目选择器”

  3. 确保您的 Cloud 项目已启用结算功能。 了解如何确认您的项目是否已启用结算功能。

  4. 启用 Cloud Text-to-Speech API。

    启用 API

  5. 创建服务帐号：

    1. 在 Cloud Console 中，转到创建服务帐号页面。

      转到“创建服务帐号”
    2. 选择一个项目。

    3. 在服务帐号名称字段中，输入一个名称。 Cloud Console 会根据此名称填充服务帐号 ID 字段。

      在服务帐号说明字段中，输入说明。例如，Service account for quickstart。

    4. 点击完成以完成服务帐号的创建过程。

      不要关闭浏览器窗口。您将在下一步骤中用到它。

  6. 创建服务帐号密钥：

    1. 在 Cloud Console 中，点击您创建的服务帐号的电子邮件地址。
    2. 点击密钥。
    3. 依次点击添加密钥和创建新密钥。
    4. 点击创建。JSON 密钥文件将下载到您的计算机上。
    5. 点击关闭。

  7. 将环境变量 GOOGLE_APPLICATION_CREDENTIALS 设置为包含您的服务帐号密钥的 JSON 文件的路径。 此变量仅适用于当前的 shell 会话，因此，如果您打开新的会话，请重新设置该变量。

  8. 安装并初始化 Cloud SDK。

安装客户端库

Go

go get -u cloud.google.com/go/texttospeech/apiv1

Java

<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>19.2.1</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>

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

Node.js

在安装库之前，请确保已经为 Node.js 开发准备好环境。

npm install --save @google-cloud/text-to-speech

Python

在安装库之前，请确保已经为 Python 开发准备好环境。

pip install --upgrade google-cloud-texttospeech

创建音频数据

现在，您可以使用 Text-to-Speech 来创建合成人类语音的音频文件。请使用以下代码将 synthesize 请求发送到 Text-to-Speech。

Go


// Command quickstart generates an audio file with the content "Hello, World!".
package main

import (
	"context"
	"fmt"
	"io/ioutil"
	"log"

	texttospeech "cloud.google.com/go/texttospeech/apiv1"
	texttospeechpb "google.golang.org/genproto/googleapis/cloud/texttospeech/v1"
)

func main() {
	// Instantiates a client.
	ctx := context.Background()

	client, err := texttospeech.NewClient(ctx)
	if err != nil {
		log.Fatal(err)
	}

	// Perform the text-to-speech request on the text input with the selected
	// voice parameters and audio file type.
	req := texttospeechpb.SynthesizeSpeechRequest{
		// Set the text input to be synthesized.
		Input: &texttospeechpb.SynthesisInput{
			InputSource: &texttospeechpb.SynthesisInput_Text{Text: "Hello, World!"},
		},
		// Build the voice request, select the language code ("en-US") and the SSML
		// voice gender ("neutral").
		Voice: &texttospeechpb.VoiceSelectionParams{
			LanguageCode: "en-US",
			SsmlGender:   texttospeechpb.SsmlVoiceGender_NEUTRAL,
		},
		// Select the type of audio file you want returned.
		AudioConfig: &texttospeechpb.AudioConfig{
			AudioEncoding: texttospeechpb.AudioEncoding_MP3,
		},
	}

	resp, err := client.SynthesizeSpeech(ctx, &req)
	if err != nil {
		log.Fatal(err)
	}

	// The resp's AudioContent is binary.
	filename := "output.mp3"
	err = ioutil.WriteFile(filename, resp.AudioContent, 0644)
	if err != nil {
		log.Fatal(err)
	}
	fmt.Printf("Audio content written to file: %v\n", filename)
}

Java

samples/snippets/src/main/java/com/example/texttospeech/QuickstartSample.java 
// Imports the Google Cloud client library
import com.google.cloud.texttospeech.v1.AudioConfig;
import com.google.cloud.texttospeech.v1.AudioEncoding;
import com.google.cloud.texttospeech.v1.SsmlVoiceGender;
import com.google.cloud.texttospeech.v1.SynthesisInput;
import com.google.cloud.texttospeech.v1.SynthesizeSpeechResponse;
import com.google.cloud.texttospeech.v1.TextToSpeechClient;
import com.google.cloud.texttospeech.v1.VoiceSelectionParams;
import com.google.protobuf.ByteString;
import java.io.FileOutputStream;
import java.io.OutputStream;

/**
 * Google Cloud TextToSpeech API sample application. Example usage: mvn package exec:java
 * -Dexec.mainClass='com.example.texttospeech.QuickstartSample'
 */
public class QuickstartSample {

  /** Demonstrates using the Text-to-Speech API. */
  public static void main(String... args) throws Exception {
    // Instantiates a client
    try (TextToSpeechClient textToSpeechClient = TextToSpeechClient.create()) {
      // Set the text input to be synthesized
      SynthesisInput input = SynthesisInput.newBuilder().setText("Hello, World!").build();

      // Build the voice request, select the language code ("en-US") and the ssml voice gender
      // ("neutral")
      VoiceSelectionParams voice =
          VoiceSelectionParams.newBuilder()
              .setLanguageCode("en-US")
              .setSsmlGender(SsmlVoiceGender.NEUTRAL)
              .build();

      // Select the type of audio file you want returned
      AudioConfig audioConfig =
          AudioConfig.newBuilder().setAudioEncoding(AudioEncoding.MP3).build();

      // Perform the text-to-speech request on the text input with the selected voice parameters and
      // audio file type
      SynthesizeSpeechResponse response =
          textToSpeechClient.synthesizeSpeech(input, voice, audioConfig);

      // Get the audio contents from the response
      ByteString audioContents = response.getAudioContent();

      // Write the response to the output file.
      try (OutputStream out = new FileOutputStream("output.mp3")) {
        out.write(audioContents.toByteArray());
        System.out.println("Audio content written to file \"output.mp3\"");
      }
    }
  }
}

Node.js

在运行该示例之前，请确保已经为 Node.js 开发准备好环境。

// Imports the Google Cloud client library
const textToSpeech = require('@google-cloud/text-to-speech');

// Import other required libraries
const fs = require('fs');
const util = require('util');
// Creates a client
const client = new textToSpeech.TextToSpeechClient();
async function quickStart() {
  // The text to synthesize
  const text = 'hello, world!';

  // Construct the request
  const request = {
    input: {text: text},
    // Select the language and SSML voice gender (optional)
    voice: {languageCode: 'en-US', ssmlGender: 'NEUTRAL'},
    // select the type of audio encoding
    audioConfig: {audioEncoding: 'MP3'},
  };

  // Performs the text-to-speech request
  const [response] = await client.synthesizeSpeech(request);
  // Write the binary audio content to a local file
  const writeFile = util.promisify(fs.writeFile);
  await writeFile('output.mp3', response.audioContent, 'binary');
  console.log('Audio content written to file: output.mp3');
}
quickStart();

Python

在运行该示例之前，请确保已经为 Python 开发准备好环境。

"""Synthesizes speech from the input string of text or ssml.

Note: ssml must be well-formed according to:
    https://www.w3.org/TR/speech-synthesis/
"""
from google.cloud import texttospeech

# Instantiates a client
client = texttospeech.TextToSpeechClient()

# Set the text input to be synthesized
synthesis_input = texttospeech.SynthesisInput(text="Hello, World!")

# Build the voice request, select the language code ("en-US") and the ssml
# voice gender ("neutral")
voice = texttospeech.VoiceSelectionParams(
    language_code="en-US", ssml_gender=texttospeech.SsmlVoiceGender.NEUTRAL
)

# Select the type of audio file you want returned
audio_config = texttospeech.AudioConfig(
    audio_encoding=texttospeech.AudioEncoding.MP3
)

# Perform the text-to-speech request on the text input with the selected
# voice parameters and audio file type
response = client.synthesize_speech(
    input=synthesis_input, voice=voice, audio_config=audio_config
)

# The response's audio_content is binary.
with open("output.mp3", "wb") as out:
    # Write the response to the output file.
    out.write(response.audio_content)
    print('Audio content written to file "output.mp3"')

恭喜！您已向 Text-to-Speech 发送了第一个请求。

结果怎么样？

清理

为避免系统因本快速入门中使用的资源向您的 Google Cloud 帐号收取费用，请按照以下步骤操作。

后续步骤