用java实现本地语音实时采取，然后对接阿里AI语音识别实现，语音识别系统。并内部加载逻辑实现电脑语音控制

package com.wqc.sound; import java.io.ByteArrayInputStream; import java.io.ByteArrayOutputStream; import java.io.IOException; import java.io.InputStream; import javax.sound.sampled.AudioFileFormat; import javax.sound.sampled.AudioFormat; import javax.sound.sampled.AudioInputStream; import javax.sound.sampled.AudioSystem; import javax.sound.sampled.DataLine; import javax.sound.sampled.TargetDataLine; import javax.sound.sampled.UnsupportedAudioFileException; 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; public class MyAiSound { private MyAiSound demo = null; private String appKey = ""; private String token = ""; private String url = ""; private NlsClient client; AudioFormat audioFormat; TargetDataLine targetDataLine; boolean flag = true; public MyAiSound() { } public MyAiSound(String appKey, String token) { //创建NlsClient实例,应用全局创建一个即可,默认服务地址为阿里云线上服务地址 client = new NlsClient(token); } public MyAiSound(String appKey, String token, String url) { //创建NlsClient实例,应用全局创建一个即可,用户指定服务地址 client = new NlsClient(url, token); } // private String filePath = "E:\\1jAVE\\ECLIPSE\\obj\\nls-example-recognizer\\src\\main\\resources\\voice_cache.wav"; //private File audioFile = new File(filePath); public static void main(String args[]) throws UnsupportedAudioFileException, IOException { MyAiSound myAiSound=new MyAiSound(); myAiSound.startRecognize(); } private void stopRecognize() { flag = false; targetDataLine.stop(); targetDataLine.close(); }private AudioFormat getAudioFormat() { float sampleRate = 16000; // 8000,11025,16000,22050,44100 int sampleSizeInBits = 16; // 8,16 int channels = 1; // 1,2 boolean signed = true; // true,false boolean bigEndian = false; // true,false return new AudioFormat(sampleRate, sampleSizeInBits, channels, signed, bigEndian); }// end getAudioFormat public void startRecognize() { try { // 获得指定的音频格式 audioFormat = getAudioFormat(); DataLine.Info dataLineInfo = new DataLine.Info(TargetDataLine.class, audioFormat); targetDataLine = (TargetDataLine) AudioSystem.getLine(dataLineInfo); // Create a thread to capture the microphone // data into an audio file and start the // thread running. It will run until the // Stop button is clicked. This method // will return after starting the thread. new CaptureThread().start(); } catch (Exception e) { e.printStackTrace(); } // end catch }// end captureAudio method class CaptureThread extends Thread { public void run() { while(true) { flag = true; AudioFileFormat.Type fileTypes = AudioFileFormat.Type.WAVE; //fileTypes = AudioFileFormat.Type.WAVE; //声音录入的权值 int weight = 2; //判断是否停止的计数 int downSum = 0; ByteArrayInputStream bais = null; ByteArrayOutputStream baos = new ByteArrayOutputStream(); AudioInputStream ais = null; try { targetDataLine.open(audioFormat); targetDataLine.start(); byte[] fragment = new byte[1024]; ais = new AudioInputStream(targetDataLine); while (flag) { targetDataLine.read(fragment, 0, fragment.length); //当数组末位大于weight时开始存储字节（有声音传入），一旦开始不再需要判断末位 if (Math.abs(fragment[fragment.length-1]) > weight || baos.size() > 0) { baos.write(fragment); System.out.println("守卫："+fragment[0]+",末尾："+fragment[fragment.length-1]+",lenght"+fragment.length); //判断语音是否停止 if(Math.abs(fragment[fragment.length-1])<=weight){ downSum++; }else{ System.out.println("重置奇数"); downSum=0; }//计数超过20说明此段时间没有声音传入(值也可更改) if(downSum>20){ System.out.println("停止录入"); break; } } } //取得录音输入流 audioFormat = getAudioFormat(); byte audioData[] = baos.toByteArray(); bais = new ByteArrayInputStream(audioData); ais = new AudioInputStream(bais, audioFormat, audioData.length / audioFormat.getFrameSize()); demo = new MyAiSound(appKey, token, url); demo.process(ais); demo.shutdown(); //定义最终保存的文件名 //System.out.println("开始生成语音文件"); // AudioSystem.write(ais, AudioFileFormat.Type.WAVE, audioFile); downSum = 0; stopRecognize(); } catch (Exception e) { e.printStackTrace(); } finally { //关闭流 try { ais.close(); bais.close(); baos.reset(); } catch (IOException e) { e.printStackTrace(); } } }// end run } }// end inner class CaptureThread private static SpeechRecognizerListener getRecognizerListener() { SpeechRecognizerListener listener = new SpeechRecognizerListener() { //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 onRecognitionResultChanged(SpeechRecognizerResponse response) { // //事件名称 RecognitionResultChanged // System.out.println("nameChanged: " + response.getName() + // //状态码 20000000 表示识别成功 // ", statusChanged: " + response.getStatus() + // //语音识别文本 // ", resultChanged: " + response.getRecognizedText()); } //识别完毕 @Override public void onRecognitionCompleted(SpeechRecognizerResponse response) { //事件名称 RecognitionCompleted System.out.println("nameCompleted: " + response.getName() + //状态码 20000000 表示识别成功 ", statusCompleted: " + response.getStatus() + //语音识别文本 ", resultCompleted: " + response.getRecognizedText()); String string=response.g