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:\\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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