麦克风自动录音

2018-02-28 07:48:55来源:cnblogs.com作者:吾乃闪耀的知识灯塔人点击

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  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://voice//voice_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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