使用ChannelAPI的Android Wear录音机
我正在尝试为Android Wear构建一个录音应用程序。现在,我能够捕获手表上的音频,将其流式传输到手机,并将其保存在文件中。但是,音频文件显示的是间隙或裁剪部分 我发现这些问题与我的问题有关,但它们帮不了我使用ChannelAPI的Android Wear录音机,android,audio,wear-os,audiorecord,channel-api,Android,Audio,Wear Os,Audiorecord,Channel Api,我正在尝试为Android Wear构建一个录音应用程序。现在,我能够捕获手表上的音频,将其流式传输到手机,并将其保存在文件中。但是,音频文件显示的是间隙或裁剪部分 我发现这些问题与我的问题有关,但它们帮不了我 这是我的密码: 首先,在手表方面,我使用channelAPI创建频道,并成功地将手表上捕获的音频发送到智能手机 //here are the variables values that I used //44100Hz is currently the only rate that
这是我的密码: 首先,在手表方面,我使用channelAPI创建频道,并成功地将手表上捕获的音频发送到智能手机
//here are the variables values that I used
//44100Hz is currently the only rate that is guaranteed to work on all devices
//but other rates such as 22050, 16000, and 11025 may work on some devices.
private static final int RECORDER_SAMPLE_RATE = 44100;
private static final int RECORDER_CHANNELS = AudioFormat.CHANNEL_IN_MONO;
private static final int RECORDER_AUDIO_ENCODING = AudioFormat.ENCODING_PCM_16BIT;
int BufferElements2Rec = 1024;
int BytesPerElement = 2;
//start the process of recording audio
private void startRecording() {
recorder = new AudioRecord(MediaRecorder.AudioSource.MIC,
RECORDER_SAMPLE_RATE, RECORDER_CHANNELS,
RECORDER_AUDIO_ENCODING, BufferElements2Rec * BytesPerElement);
recorder.startRecording();
isRecording = true;
recordingThread = new Thread(new Runnable() {
public void run() {
writeAudioDataToPhone();
}
}, "AudioRecorder Thread");
recordingThread.start();
}
private void writeAudioDataToPhone(){
short sData[] = new short[BufferElements2Rec];
ChannelApi.OpenChannelResult result = Wearable.ChannelApi.openChannel(googleClient, nodeId, "/mypath").await();
channel = result.getChannel();
Channel.GetOutputStreamResult getOutputStreamResult = channel.getOutputStream(googleClient).await();
OutputStream outputStream = getOutputStreamResult.getOutputStream();
while (isRecording) {
// gets the voice output from microphone to byte format
recorder.read(sData, 0, BufferElements2Rec);
try {
byte bData[] = short2byte(sData);
outputStream.write(bData);
} catch (IOException e) {
e.printStackTrace();
}
}
try {
outputStream.close();
} catch (IOException e) {
e.printStackTrace();
}
}
然后,在智能手机端,我从通道接收音频数据并将其写入PCM文件
public void onChannelOpened(Channel channel) {
if (channel.getPath().equals("/mypath")) {
Channel.GetInputStreamResult getInputStreamResult = channel.getInputStream(mGoogleApiClient).await();
inputStream = getInputStreamResult.getInputStream();
writePCMToFile(inputStream);
MainActivity.this.runOnUiThread(new Runnable() {
public void run() {
Toast.makeText(MainActivity.this, "Audio file received!", Toast.LENGTH_SHORT).show();
}
});
}
}
public void writePCMToFile(InputStream inputStream) {
OutputStream outputStream = null;
try {
// write the inputStream to a FileOutputStream
outputStream = new FileOutputStream(new File("/sdcard/wearRecord.pcm"));
int read = 0;
byte[] bytes = new byte[1024];
while ((read = inputStream.read(bytes)) != -1) {
outputStream.write(bytes, 0, read);
}
System.out.println("Done writing PCM to file!");
} catch (Exception e) {
e.printStackTrace();
} finally {
if (inputStream != null) {
try {
inputStream.close();
} catch (Exception e) {
e.printStackTrace();
}
}
if (outputStream != null) {
try {
// outputStream.flush();
outputStream.close();
} catch (Exception e) {
e.printStackTrace();
}
}
}
}
我做错了什么,或者你对在智能手机上实现完美无间隙音频文件有什么建议?提前感谢。我在您的代码中注意到,您正在将所有内容读入一个短[]数组,然后将其转换为字节[]数组,以便通道API发送。代码还通过循环的每次迭代创建一个新的byte[]数组,这将为垃圾收集器创建大量工作。通常,您希望避免在循环内进行分配 我会在顶部分配一个byte[]数组,并让AudioRecord类将其直接存储到byte[]数组中(只需确保分配的字节数是原来的两倍),代码如下:
mAudioTemp = new byte[bufferSize];
int result;
while ((result = mAudioRecord.read(mAudioTemp, 0, mAudioTemp.length)) > 0) {
try {
mAudioStream.write(mAudioTemp, 0, result);
} catch (IOException e) {
Log.e(Const.TAG, "Write to audio channel failed: " + e);
}
}
我还用一个1秒的音频缓冲区进行了测试,使用了这样的代码,效果很好。在开始出现问题之前,我不确定最小缓冲区大小是多少:
int bufferSize = Math.max(
AudioTrack.getMinBufferSize(44100, AudioFormat.CHANNEL_OUT_MONO, AudioFormat.ENCODING_PCM_16BIT),
44100 * 2);
你试过制造更大的缓冲区吗?1024字节非常小,手机延迟很容易使您丢失一些音频。是的。我还尝试使用AudioRecord.getMinBufferSize函数返回的值的十倍,但结果是一样的。感谢您的回复!所以,在手持设备方面,我会使用与可穿戴设备相同的缓冲区大小,而不是1024,对吗?