<dependency>
 <groupId>com.aliyun</groupId>
 <artifactId>aliyun-java-sdk-core</artifactId>
 <version>4.5.13</version>
 </dependency>
 <dependency>
 <groupId>com.alibaba.nls</groupId>
 <artifactId>nls-sdk-tts</artifactId>
 <version>2.2.1</version>
</dependency>

import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.nio.ByteBuffffer;
import com.alibaba.nls.client.AccessToken;
import com.alibaba.nls.client.protocol.NlsClient;
import com.alibaba.nls.client.protocol.OutputFormatEnum;
import com.alibaba.nls.client.protocol.SampleRateEnum;
import com.alibaba.nls.client.protocol.tts.SpeechSynthesizer;
import com.alibaba.nls.client.protocol.tts.SpeechSynthesizerListener;
import com.alibaba.nls.client.protocol.tts.SpeechSynthesizerResponse;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
 * 此示例演示了：
 * 语音合成API调用。
 * 动态获取token。
 * 流式合成TTS。
 * 首包延迟计算。
 */
public class SpeechSynthesizerDemo {
 private static fifinal Logger logger = LoggerFactory.getLogger(SpeechSynthesizerDemo.class);
 private static long startTime;
 private String appKey;
 NlsClient client;
 public SpeechSynthesizerDemo(String appKey, String accessKeyId, String accessKeySecret) {
 this.appKey = appKey;
 private static SpeechSynthesizerListener getSynthesizerListener() {
 SpeechSynthesizerListener listener = null;
 try {
 listener = new SpeechSynthesizerListener() {
 File f=new File("tts_test.wav");
 FileOutputStream fout = new FileOutputStream(f);
 private boolean fifirstRecvBinary = true;
 //语音合成结束
 @Override
 public void onComplete(SpeechSynthesizerResponse response) {
 //调用onComplete时表示所有TTS数据已接收完成，因此为整个合成数据的延迟。该延迟可能较大，不一定满足实
时场景。
 System.out.println("name: " + response.getName() +
 ", status: " + response.getStatus()+
 ", output fifile :"+f.getAbsolutePath()
 );
 }
 //语音合成的语音二进制数据
 @Override
 public void onMessage(ByteBuffffer message) {
 try {
 if(fifirstRecvBinary) {
 //计算首包语音流的延迟，收到第一包语音流时，即可以进行语音播放，以提升响应速度（特别是实时交互场
景下）。
 fifirstRecvBinary = false;
 long now = System.currentTimeMillis();
 logger.info("tts fifirst latency : " + (now - SpeechSynthesizerDemo.startTime) + " ms");
 }
byte[] bytesArray = new byte[message.remaining()];
 message.get(bytesArray, 0, bytesArray.length);
 fout.write(bytesArray);
 } catch (IOException e) {
 e.printStackTrace();
 }
 }
 @Override
 public void onFail(SpeechSynthesizerResponse response){
 //task_id是调用方和服务端通信的唯一标识，当遇到问题时需要提供task_id以便排查。
 System.out.println(
 "task_id: " + response.getTaskId() +
 //状态码 20000000 表示识别成功
 ", status: " + response.getStatus() +
 //错误信息
 ", status_text: " + response.getStatusText());
 }
 };
 } catch (Exception e) {
 e.printStackTrace();
 }
return listener;
 }
 public void process() {
 SpeechSynthesizer synthesizer = null;
 try {
 //创建实例，建立连接。
 synthesizer = new SpeechSynthesizer(client, getSynthesizerListener());
 synthesizer.setAppKey(appKey);
//设置返回音频的编码格式
 synthesizer.setFormat(OutputFormatEnum.WAV);
 //设置返回音频的采样率
 synthesizer.setSampleRate(SampleRateEnum.SAMPLE_RATE_16K);
 //发音人
 synthesizer.setVoice("siyue");
 //语调，范围是-500~500，可选，默认是0。
 synthesizer.setPitchRate(100);
 //语速，范围是-500~500，默认是0。
 synthesizer.setSpeechRate(100);
 //设置用于语音合成的文本
 synthesizer.setText("欢迎使用阿里巴巴智能语音合成服务，您可以说北京明天天气怎么样啊");
 // 是否开启字幕功能(返回相应文本的时间戳)，默认不开启，需要注意并非所有发音人都支持该参数。
 synthesizer.addCustomedParam("enable_subtitle", false);
 //此方法将以上参数设置序列化为JSON格式发送给服务端，并等待服务端确认。
 long start = System.currentTimeMillis();
 synthesizer.start();
 logger.info("tts start latency " + (System.currentTimeMillis() - start) + " ms");
 SpeechSynthesizerDemo.startTime = System.currentTimeMillis();
 //等待语音合成结束
 synthesizer.waitForComplete();
 logger.info("tts stop latency " + (System.currentTimeMillis() - start) + " ms");
 } catch (Exception e) {
 e.printStackTrace();
 } fifinally {
 //关闭连接
 if (null != synthesizer) {
 synthesizer.close();
 }
}
 }
 public void shutdown() {
 client.shutdown();
 }
 public static void main(String[] args) throws Exception {
 String appKey = "";
 String id = "";
 String secret = "";
 String url = ""; //默认值：wss://nls-gateway.cn-shanghai.aliyuncs.com/ws/v1
 if (args.length == 3) {
 appKey = args[0];
 id = args[1];
 secret = args[2];
 } else if (args.length == 4) {
 appKey = args[0];
 id = args[1];
 secret = args[2];
 url = args[3];
 } else {
 System.err.println("run error, need params(url is optional): " + "<app-key> <AccessKeyId> <AccessKeySecret> 
[url]");
 System.exit(-1);
 }
 SpeechSynthesizerDemo demo = new SpeechSynthesizerDemo(appKey, id, secret, url);
 demo.process();
 demo.shutdown();
 }
}