《阿里云AI产品必知必会系列电子书》——智能语音交互—— 一句话识别QuickStart使用教程（2） https://developer.aliyun.com/article/1232530?groupCode=supportservice
三、通过SDK调用一句话识别服务
注：由于模型的采样率在配置时使用16K，所有测试的音频文件采样率也需要是
16K(常见音频采样率：8000Hz/16000Hz)。为了便于快速测试请下载示例音频文件
•3.1 导入Maven依赖文件
<dependency> <groupId>com.alibaba.nls</groupId> <artifactId>nls-sdk-recognizer</artifactId> <version>2.2.1</version> </dependency>
•3.2 java SDK Code
import java.io.File; import java.io.FileInputStream; import java.io.IOException; import com.alibaba.nls.client.AccessToken; 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.SpeechRecognizer; import com.alibaba.nls.client.protocol.asr.SpeechRecognizerListener; import com.alibaba.nls.client.protocol.asr.SpeechRecognizerResponse; import org.slf4j.Logger; import org.slf4j.LoggerFactory; /** * 此示例演示了： * ASR一句话识别API调用。 * 动态获取token。 * 通过本地文件模拟实时流发送。 * 识别耗时计算。 */ public class SpeechRecognizerDemo { private static fifinal Logger logger = LoggerFactory.getLogger(SpeechRecognizerDemo.class); AIprivate String appKey; NlsClient client; public SpeechRecognizerDemo(String appKey, String id, String secret, String url) { this.appKey = appKey; //应用全局创建一个NlsClient实例，默认服务地址为阿里云线上服务地址。 //获取token，实际使用时注意在accessToken.getExpireTime()过期前再次获取。 AccessToken accessToken = new AccessToken(id, secret); try { accessToken.apply(); System.out.println("get token: " + accessToken.getToken() + ", expire time: " + accessToken.getExpireTime()); if(url.isEmpty()) { client = new NlsClient(accessToken.getToken()); }else { client = new NlsClient(url, accessToken.getToken()); } } catch (IOException e) { e.printStackTrace(); } } private static SpeechRecognizerListener getRecognizerListener(fifinal int myOrder, fifinal String userParam) { SpeechRecognizerListener listener = new SpeechRecognizerListener() { //识别出中间结果。仅当setEnableIntermediateResult为true时，才会返回该消息。 @Override public void onRecognitionResultChanged(SpeechRecognizerResponse response) {
择的最简单推荐形式。可以使用nodeSelector字段将pod调度到指定的节点标签
的节点上。
AccessToken accessToken = new AccessToken(id, secret); try { accessToken.apply(); System.out.println("get token: " + accessToken.getToken() + ", expire time: " + accessToken.getExpireTime()); if(url.isEmpty()) { client = new NlsClient(accessToken.getToken()); }else { client = new NlsClient(url, accessToken.getToken()); } } catch (IOException e) { e.printStackTrace(); } } private static SpeechRecognizerListener getRecognizerListener(fifinal int myOrder, fifinal String userParam) { SpeechRecognizerListener listener = new SpeechRecognizerListener() { //识别出中间结果。仅当setEnableIntermediateResult为true时，才会返回该消息。 @Override public void onRecognitionResultChanged(SpeechRecognizerResponse response) { //getName是获取事件名称，getStatus是获取状态码，getRecognizedText是语音识别文本。 System.out.println("name: " + response.getName() + ", status: " + response.getStatus() + ", result: " + response.getRecognizedText()); } //识别完毕 @Override public void onRecognitionCompleted(SpeechRecognizerResponse response) { //getName是获取事件名称，getStatus是获取状态码，getRecognizedText是语音识别文本。 System.out.println("name: " + response.getName() + ", status: " + response.getStatus() + ", result: " + response.getRecognizedText()); @Override public void onStarted(SpeechRecognizerResponse response) { System.out.println("myOrder: " + myOrder + "; myParam: " + userParam + "; task_id: " + response.getTaskId()); } @Override public void onFail(SpeechRecognizerResponse response) { //task_id是调用方和服务端通信的唯一标识，当遇到问题时，需要提供此task_id。 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 fifilepath, int sampleRate) { SpeechRecognizer recognizer = null; try { //传递用户自定义参数 String myParam = "user-param"; int myOrder = 1234; SpeechRecognizerListener listener = getRecognizerListener(myOrder, myParam); recognizer = new SpeechRecognizer(client, listener); recognizer.setAppKey(appKey); //设置音频编码格式。如果是OPUS文件，请设置为InputFormatEnum.OPUS。 recognizer.setFormat(InputFormatEnum.PCM); //设置音频采样率 if(sampleRate == 16000) { recognizer.setSampleRate(SampleRateEnum.SAMPLE_RATE_16K); } else if(sampleRate == 8000) { recognizer.setSampleRate(SampleRateEnum.SAMPLE_RATE_8K); } //设置是否返回中间识别结果 recognizer.setEnableIntermediateResult(true); //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。 long now = System.currentTimeMillis(); recognizer.start(); logger.info("ASR start latency : " + (System.currentTimeMillis() - now) + " ms"); File fifile = new File(fifilepath); FileInputStream fifis = new FileInputStream(fifile); byte[] b = new byte[3200]; int len; while ((len = fifis.read(b)) > 0) { logger.info("send data pack length: " + len); recognizer.send(b, len); //本案例用读取本地文件的形式模拟实时获取语音流，因为读取速度较快，这里需要设置sleep时长。 // 如果实时获取语音则无需设置sleep时长，如果是8k采样率语音第二个参数设置为8000。 int deltaSleep = getSleepDelta(len, sampleRate); 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。 now = System.currentTimeMillis(); //计算实际延迟，调用stop返回之后一般即是识别结果返回时间。 logger.info("ASR wait for complete"); recognizer.stop(); logger.info("ASR stop latency : " + (System.currentTimeMillis() - now) + " ms"); fifis.close(); } catch (Exception e) { System.err.println(e.getMessage()); } fifinally { //关闭连接 if (null != recognizer) { recognizer.close(); } } } public void shutdown() { client.shutdown(); } public static void main(String[] args) throws Exception { String appKey = "XXXXXXXXXX"; //填写appkey String id = "XXXXXXXXXX"; //填写AccessKey Id String secret = "XXXXXXXXXX"; //填写AccessKey Secret String url = "wss://nls-gateway.cn-shanghai.aliyuncs.com/ws/v1"; // 默认值：wss://nls-gateway.cn-shanghai.ali yuncs.com/ws/v1 SpeechRecognizerDemo demo = new SpeechRecognizerDemo(appKey, id, secret, url); //本案例使用本地文件模拟发送实时流数据。 demo.process("XXXXXXXXX", 16000); //demo.process("./nls-sample.opus", 16000); demo.shutdown();
•3.3 测试结果
name: RecognitionResultChanged, status: 20000000, result: 北 name: RecognitionResultChanged, status: 20000000, result: 北京的 name: RecognitionResultChanged, status: 20000000, result: 北京的天 name: RecognitionResultChanged, status: 20000000, result: 北京的天气
