android解析歌词

⑴ 如何实现android音乐播放器歌词同步

先从最基本的读取歌词文件开始：
Public class LrcHandle {
private List mWords = new ArrayList();
private List mTimeList = new ArrayList();
//处理歌词文件
public void readLRC(String path) {
File file = new File(path);
try {
FileInputStream fileInputStream = new FileInputStream(file);
InputStreamReader inputStreamReader = new InputStreamReader(
fileInputStream, "utf-8");
BufferedReader bufferedReader = new BufferedReader(
inputStreamReader);
String s = "";
while ((s = bufferedReader.readLine()) != null) {
addTimeToList(s);
if ((s.indexOf("[ar:") != -1) || (s.indexOf("[ti:") != -1)
|| (s.indexOf("[by:") != -1)) {
s = s.substring(s.indexOf(":") + 1, s.indexOf("]"));
} else {
String ss = s.substring(s.indexOf("["), s.indexOf("]") + 1);
s = s.replace(ss, "");
}
mWords.add(s);
}
bufferedReader.close();
inputStreamReader.close();
fileInputStream.close();
} catch (FileNotFoundException e) {
e.printStackTrace();
mWords.add("没有歌词文件，赶紧去下载");
} catch (IOException e) {
e.printStackTrace();
mWords.add("没有读取到歌词");
}
}
public List getWords() {
return mWords;
}
public List getTime() {
return mTimeList;
}
// 分离出时间
private int timeHandler(String string) {
string = string.replace(".", ":");
String timeData[] = string.split(":");
// 分离出分、秒并转换为整型
int minute = Integer.parseInt(timeData[0]);
int second = Integer.parseInt(timeData[1]);
int millisecond = Integer.parseInt(timeData[2]);
// 计算上一行与下一行的时间转换为毫秒数
int currentTime = (minute * 60 + second) * 1000 + millisecond * 10;
return currentTime;
}
private void addTimeToList(String string) {
Matcher matcher = Pattern.compile(
"[d{1,2}:d{1,2}([.:]d{1,2})?]").matcher(string);
if (matcher.find()) {
String str = matcher.group();
mTimeList.add(new LrcHandle().timeHandler(str.substring(1,
str.length() - 1)));
}
}
}
一般歌词文件的格式大概如下:
[ar:艺人名]
[ti:曲名]
[al:专辑名]
[by:编者(指编辑LRC歌词的人)]
[offset:时间补偿值] 其单位是毫秒，正值表示整体提前，负值相反。这是用于总体调整显示快慢的。
但也不一定，有时候并没有前面那些ar:等标识符，所以我们这里也提供了另一种解析方式。
歌词文件中的时间格式则比较统一:[00:00.50]等等，00:表示分钟，00.表示秒数，.50表示毫秒数，当然，我们最后是要将它们转化为毫秒数处理才比较方便。

⑵ android 如何实现 边录音 同时显示 歌词评分有原理，代码就好了。。

歌曲播放时歌词同步显示，我们需要读取以上歌词文件的每一行转换成成一个个歌词实体,可根据当前播放器的播放进度与每句歌词的开始时间，得到当前屏幕中央高亮显示的那句歌词
我们需要读取以上歌词文件的每一行转换成成一个个歌词实体：
代码如下:

public class LyricObject {
public int begintime; // 开始时间
public int endtime; // 结束时间
public int timeline; // 单句歌词用时
public String lrc; // 单句歌词
}

可根据当前播放器的播放进度与每句歌词的开始时间，得到当前屏幕中央高亮显示的那句歌词。在UI线程中另起线程，通过回调函数 onDraw() 每隔100ms重新绘制屏幕，实现歌词平滑滚动的动画效果。MainActivity代码如下：
代码如下:

import java.io.IOException;
import android.app.Activity;
import android.media.MediaPlayer;
import android.net.Uri;
import android.os.Bundle;
import android.os.Environment;
import android.os.Handler;
import android.view.View;
import android.view.View.OnClickListener;
import android.widget.Button;
import android.widget.SeekBar;
import android.widget.SeekBar.OnSeekBarChangeListener;
public class MainActivity extends Activity {
/** Called when the activity is first created. */
private LyricView lyricView;
private MediaPlayer mediaPlayer;
private Button button;
private SeekBar seekBar;
private String mp3Path;
private int INTERVAL=45;//歌词每行的间隔
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
// this.requestWindowFeature(Window.FEATURE_NO_TITLE);
// getWindow().setFlags(WindowManager.LayoutParams.FLAG_FULLSCREEN);
setContentView(R.layout.main);
mp3Path = Environment.getExternalStorageDirectory().getAbsolutePath() + "/LyricSync/1.mp3";
lyricView = (LyricView) findViewById(R.id.mylrc);
mediaPlayer = new MediaPlayer();
// this.requestWindowFeature(Window.FEATURE_NO_TITLE);
ResetMusic(mp3Path);
SerchLrc();
lyricView.SetTextSize();
button = (Button) findViewById(R.id.button);
button.setText("播放");
seekBar = (SeekBar) findViewById(R.id.seekbarmusic);
seekBar.setOnSeekBarChangeListener(new OnSeekBarChangeListener() {
@Override
public void onStopTrackingTouch(SeekBar seekBar) {
// TODO Auto-generated method stub
}
@Override
public void onStartTrackingTouch(SeekBar seekBar) {
// TODO Auto-generated method stub
}
@Override
public void onProgressChanged(SeekBar seekBar, int progress,
boolean fromUser) {
// TODO Auto-generated method stub
if (fromUser) {
mediaPlayer.seekTo(progress);
lyricView.setOffsetY(220 - lyricView.SelectIndex(progress)
* (lyricView.getSIZEWORD() + INTERVAL-1));
}
}
});
button.setOnClickListener(new OnClickListener() {
@Override
public void onClick(View v) {
// TODO Auto-generated method stub
if (mediaPlayer.isPlaying()) {
button.setText("播放");
mediaPlayer.pause();
} else {
button.setText("暂停");
mediaPlayer.start();
lyricView.setOffsetY(220 - lyricView.SelectIndex(mediaPlayer.getCurrentPosition())
* (lyricView.getSIZEWORD() + INTERVAL-1));
}
}
});
mediaPlayer.setOnCompletionListener(new MediaPlayer.OnCompletionListener() {
@Override
public void onCompletion(MediaPlayer mp) {
ResetMusic(mp3Path);
lyricView.SetTextSize();
lyricView.setOffsetY(200);
mediaPlayer.start();
}
});
seekBar.setMax(mediaPlayer.getDuration());
new Thread(new runable()).start();
}
public void SerchLrc() {
String lrc = mp3Path;
lrc = lrc.substring(0, lrc.length() - 4).trim() + ".lrc".trim();
LyricView.read(lrc);
lyricView.SetTextSize();
lyricView.setOffsetY(350);
}
public void ResetMusic(String path) {
mediaPlayer.reset();
try {
mediaPlayer.setDataSource(mp3Path);
mediaPlayer.prepare();
} catch (IllegalArgumentException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (IllegalStateException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
class runable implements Runnable {
@Override
public void run() {
// TODO Auto-generated method stub
while (true) {
try {
Thread.sleep(100);
if (mediaPlayer.isPlaying()) {
lyricView.setOffsetY(lyricView.getOffsetY() - lyricView.SpeedLrc());
lyricView.SelectIndex(mediaPlayer.getCurrentPosition());
seekBar.setProgress(mediaPlayer.getCurrentPosition());
mHandler.post(mUpdateResults);
}
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}
}
Handler mHandler = new Handler();
Runnable mUpdateResults = new Runnable() {
public void run() {
lyricView.invalidate(); // 更新视图
}
};
}

⑶ 安卓车机能识别krc格式歌词吗

能。
打开安装好的krc2lrc，然后把要转换KRC格式的歌词全部拉进krc2lrc软件中进行批量转换，它就自动转成了LRC格式的歌词，LRC的歌词也会在Lyric文件夹内。