Step By Step
1.获取您的真实AK信息
2.开通智能语音交互服务
3.创建智能语音交互项目
关于创建项目介绍可参考之前的博客：一句话识别
4.通过SDK调用一句话识别服务
调用前请先准备号本地的音频文件
package com.alibaba.nls.client;
import java.io.File;
import java.io.FileInputStream;
import com.alibaba.nls.client.protocol.InputFormatEnum;
import com.alibaba.nls.client.protocol.NlsClient;
import com.alibaba.nls.client.protocol.SampleRateEnum;
import com.alibaba.nls.client.protocol.asr.SpeechTranscriber;
import com.alibaba.nls.client.protocol.asr.SpeechTranscriberListener;
import com.alibaba.nls.client.protocol.asr.SpeechTranscriberResponse;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* 此示例演示了
* ASR实时识别API调用
* 通过本地模拟实时流发送
* 识别耗时计算
* (仅作演示，需用户根据实际情况实现)
*/
public class SpeechTranscriberDemo {
private String appKey;
private NlsClient client;
private static final Logger logger = LoggerFactory.getLogger(SpeechTranscriberDemo.class);
public SpeechTranscriberDemo(String appKey, String token, String url) {
this.appKey = appKey;
//TODO 重要提示 创建NlsClient实例,应用全局创建一个即可,生命周期可和整个应用保持一致,默认服务地址为阿里云线上服务地址
if(url.isEmpty()) {
client = new NlsClient(token);
}else {
client = new NlsClient(url, token);
}
}
private static SpeechTranscriberListener getTranscriberListener() {
SpeechTranscriberListener listener = new SpeechTranscriberListener() {
//TODO 识别出中间结果.服务端识别出一个字或词时会返回此消息.仅当setEnableIntermediateResult(true)时,才会有此类消息返回
@Override
public void onTranscriptionResultChange(SpeechTranscriberResponse response) {
System.out.println("task_id: " + response.getTaskId() +
", name: " + response.getName() +
//状态码 20000000 表示正常识别
", status: " + response.getStatus() +
//句子编号，从1开始递增
", index: " + response.getTransSentenceIndex() +
//当前的识别结果
", result: " + response.getTransSentenceText() +
//当前已处理的音频时长，单位是毫秒
", time: " + response.getTransSentenceTime());
}
@Override
public void onTranscriberStart(SpeechTranscriberResponse response) {
// TODO 重要提示： task_id很重要，是调用方和服务端通信的唯一ID标识，当遇到问题时，需要提供此task_id以便排查
System.out.println("task_id: " + response.getTaskId() + ", name: " + response.getName() + ", status: " + response.getStatus());
}
@Override
public void onSentenceBegin(SpeechTranscriberResponse response) {
System.out.println("task_id: " + response.getTaskId() + ", name: " + response.getName() + ", status: " + response.getStatus());
}
//识别出一句话.服务端会智能断句,当识别到一句话结束时会返回此消息
@Override
public void onSentenceEnd(SpeechTranscriberResponse response) {
System.out.println("task_id: " + response.getTaskId() +
", name: " + response.getName() +
//状态码 20000000 表示正常识别
", status: " + response.getStatus() +
//句子编号，从1开始递增
", index: " + response.getTransSentenceIndex() +
//当前的识别结果
", result: " + response.getTransSentenceText() +
//置信度
", confidence: " + response.getConfidence() +
//开始时间
", begin_time: " + response.getSentenceBeginTime() +
//当前已处理的音频时长，单位是毫秒
", time: " + response.getTransSentenceTime());
}
//识别完毕
@Override
public void onTranscriptionComplete(SpeechTranscriberResponse response) {
System.out.println("task_id: " + response.getTaskId() + ", name: " + response.getName() + ", status: " + response.getStatus());
}
@Override
public void onFail(SpeechTranscriberResponse response) {
// TODO 重要提示： task_id很重要，是调用方和服务端通信的唯一ID标识，当遇到问题时，需要提供此task_id以便排查
System.out.println("task_id: " + response.getTaskId() + ", status: " + response.getStatus() + ", status_text: " + response.getStatusText());
}
};
return listener;
}
/// 根据二进制数据大小计算对应的同等语音长度
/// sampleRate 仅支持8000或16000
public static int getSleepDelta(int dataSize, int sampleRate) {
// 仅支持16位采样
int sampleBytes = 16;
// 仅支持单通道
int soundChannel = 1;
return (dataSize * 10 * 8000) / (160 * sampleRate);
}
public void process(String filepath) {
SpeechTranscriber transcriber = null;
try {
//创建实例,建立连接
transcriber = new SpeechTranscriber(client, getTranscriberListener());
transcriber.setAppKey(appKey);
//输入音频编码方式
transcriber.setFormat(InputFormatEnum.PCM);
//输入音频采样率
transcriber.setSampleRate(SampleRateEnum.SAMPLE_RATE_16K);
//是否返回中间识别结果
transcriber.setEnableIntermediateResult(false);
//是否生成并返回标点符号
transcriber.setEnablePunctuation(true);
//是否将返回结果规整化,比如将一百返回为100
transcriber.setEnableITN(false);
//此方法将以上参数设置序列化为json发送给服务端,并等待服务端确认
transcriber.start();
File file = new File(filepath);
FileInputStream fis = new FileInputStream(file);
byte[] b = new byte[3200];
int len;
while ((len = fis.read(b)) > 0) {
logger.info("send data pack length: " + len);
transcriber.send(b, len);
// TODO 重要提示：这里是用读取本地文件的形式模拟实时获取语音流并发送的，因为read很快，所以这里需要sleep
// TODO 如果是真正的实时获取语音，则无需sleep, 如果是8k采样率语音，第二个参数改为8000
// 8000采样率情况下，3200byte字节建议 sleep 200ms，16000采样率情况下，3200byte字节建议 sleep 100ms
int deltaSleep = getSleepDelta(len, 16000);
Thread.sleep(deltaSleep);
}
//通知服务端语音数据发送完毕,等待服务端处理完成
long now = System.currentTimeMillis();
logger.info("ASR wait for complete");
transcriber.stop();
logger.info("ASR latency : " + (System.currentTimeMillis() - now) + " ms");
} catch (Exception e) {
System.err.println(e.getMessage());
} finally {
if (null != transcriber) {
transcriber.close();
}
}
}
public void shutdown() {
client.shutdown();
}
public static void main(String[] args) throws Exception {
String appKey = "";
String token = "";
String url = ""; // 默认即可，默认值：wss://nls-gateway.cn-shanghai.aliyuncs.com/ws/v1
if (args.length == 2) {
appKey = args[0];
token = args[1];
} else if (args.length == 3) {
appKey = args[0];
token = args[1];
url = args[2];
} else {
System.err.println("run error, need params(url is optional): " + "<app-key> <token> [url]");
System.exit(-1);
}
// TODO 重要提示： 这里用一个本地文件来模拟发送实时流数据，实际使用时，用户可以从某处实时采集或接收语音流并发送到ASR服务端
String filepath = "D:\\GoogleDownload\\nls-sample-16k.wav";
SpeechTranscriberDemo demo = new SpeechTranscriberDemo(appKey, token, url);
demo.process(filepath);
demo.shutdown();
}
}
####5.运行结果
