Java 实现麦克风自动录音
最近在研究语音识别,使用百度的sdk。发现只有识别的部分,而我需要保存音频文件,并且实现当有声音传入时自动生成音频文件。
先上代码:
public class EngineeCore { String filePath = 'E:voicevoice_cache.wav'; AudioFormat audioFormat; TargetDataLine targetDataLine; boolean flag = true;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 private 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. flag = true; new CaptureThread().start(); } catch (Exception e) { e.printStackTrace(); } // end catch }// end captureAudio method class CaptureThread extends Thread { public void run() { AudioFileFormat.Type fileType = null; File audioFile = new File(filePath); fileType = 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());//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
接下来测试
public static void main(String args[]) { EngineeCore engineeCore = new EngineeCore(); engineeCore.startRecognize(); }
当有较高的声音传入麦克风时,targetDataLine读取的字节数组首位或末位绝对值会变大(位置取决于音频格式中的一些参数,如bigEndian)。传入音量低,绝对值会变小
录音开始。从targetDataLine中读取的音频数据被保存在ByteArrayOutputStream中。一段时间音量一直低于权值时,认为无声音传入,结束录音。从ByteArrayOutputStream取出字节数组,
转为音频保存在本地文件中。
注意:从targetDataLine读取的字节数组不能直接用于百度等语音识别,需要先转为音频文件,然后读取音频文件生成的字节数组,才可用于语音识别。
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