


Methods and techniques for implementing speech synthesis by docking Baidu AI interface in Java language
Methods and techniques for connecting Baidu AI interface to achieve speech synthesis in Java language
Introduction
Baidu AI open platform provides a speech synthesis interface that can convert text is voice, supports multiple languages and sound styles, and has good speech synthesis quality. This article will introduce how to use Baidu AI interface to implement speech synthesis methods and techniques in Java language.
- Preparation
First, we need to register an account on the Baidu AI open platform and create an application to obtain the API Key and Secret Key. Then, we need to download Baidu AI's Java SDK, which provides a convenient interface and sample code to quickly develop speech synthesis. - Import SDK
Download Baidu AI’s Java SDK and import the relevant jar package into our Java project. Introduce the required packages into the code so that related classes and methods can be used later.
import com.baidu.aip.speech.AipSpeech; import org.json.JSONObject;
- Initialize the AipSpeech object
Create an AipSpeech object in the code and initialize it using the API Key and Secret Key obtained previously.
String appId = "你的AppId"; String apiKey = "你的API Key"; String secretKey = "你的Secret Key"; AipSpeech client = new AipSpeech(appId, apiKey, secretKey);
- Set optional parameters
According to our needs, we can set some optional parameters, such as language, sound, volume, etc. For specific optional parameters, please refer to the documentation of Baidu AI interface.
HashMap<String, Object> options = new HashMap<String, Object>(); options.put("spd", "5"); // 语速,取值0-9,默认为5中语速 options.put("pit", "5"); // 音调,取值0-9,默认为5中语调 options.put("vol", "5"); // 音量,取值0-15,默认为5中音量 options.put("per", "0"); // 发音人选择,0为女声,1为男声,默认为0女声
- Call the interface for speech synthesis
Use the AipSpeech object to call the Tts method for speech synthesis. Pass the text to be synthesized as a parameter to the Tts method and get the return result.
String text = "Hello, World!"; // 需要合成的文本 // 调用接口进行语音合成 byte[] voiceData = client.synthesis(text, "zh", 1, options); // 判断是否合成成功 if (voiceData != null) { try { // 保存语音到本地 FileOutputStream fos = new FileOutputStream("output.mp3"); fos.write(voiceData); fos.close(); System.out.println("语音合成成功,已保存到本地文件output.mp3"); } catch (IOException e) { e.printStackTrace(); } } else { System.out.println("语音合成失败,错误码:" + client.getLastErrorNo()); }
- Sample code
The following is a complete sample code that implements text-to-speech and saves it to a local file.
import com.baidu.aip.speech.AipSpeech; import org.json.JSONObject; import java.io.FileOutputStream; import java.io.IOException; import java.util.HashMap; public class TextToSpeech { public static final String APP_ID = "你的AppId"; public static final String API_KEY = "你的API Key"; public static final String SECRET_KEY = "你的Secret Key"; public static void main(String[] args) { AipSpeech client = new AipSpeech(APP_ID, API_KEY, SECRET_KEY); // 设置可选参数 HashMap<String, Object> options = new HashMap<String, Object>(); options.put("spd", "5"); options.put("pit", "5"); options.put("vol", "5"); options.put("per", "0"); String text = "Hello, World!"; // 需要合成的文本 // 调用接口进行语音合成 byte[] voiceData = client.synthesis(text, "zh", 1, options); // 判断是否合成成功 if (voiceData != null) { try { // 保存语音到本地 FileOutputStream fos = new FileOutputStream("output.mp3"); fos.write(voiceData); fos.close(); System.out.println("语音合成成功,已保存到本地文件output.mp3"); } catch (IOException e) { e.printStackTrace(); } } else { System.out.println("语音合成失败,错误码:" + client.getLastErrorNo()); } } }
- Summary
This article introduces the methods and techniques of using Baidu AI interface to implement speech synthesis in Java language. By calling Baidu AI's speech synthesis interface, we can convert text into speech and save it to a local file. At the same time, we can also set some optional parameters as needed to adjust the effect of speech synthesis. Through the above steps, we can quickly implement the speech synthesis function and integrate it into our Java project.
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