首先:我已经知道使用此API对连续语音识别流进行了65秒的限制。我的目标不是延长65秒。 我的应用: 它使用谷歌的流式语音识别,我的代码基于这个例子:https://github.com/GoogleCloudPlatform/android-docs-samples/tree/master/speech 该应用程序运行良好,我得到ASR结果,并在用户说话时在屏幕上显示它们,Siri风格。
问题: 在我的应用程序上点击几个ASR按钮之后出现问题,停止并重新启动ASR SpeechService有点不可靠。最终,我收到了这个错误:
io.grpc.StatusRuntimeException: OUT_OF_RANGE: Exceeded maximum allowed stream duration of 65 seconds.
...好像在几次停止,重启循环后,SpeechService没有正常关闭。
我的代码: 我像这样停止我的代码,我怀疑在我的StopStreamingASR方法的实现中的问题。我在一个单独的线程上运行它,因为我相信它可以提高性能(希望我没错):
static void StopStreamingASR(){
loge("stopGoogleASR_API");
//stopMicGlow();
//Run on separate thread to keep UI thread light.
Thread thread = new Thread() {
@Override
public void run() {
if(mSpeechService!=null) {
mSpeechService.finishRecognizing();
stopVoiceRecorder();
// Stop Cloud Speech API
if(mServiceConnection!=null) {
try {
app.loge("CAUTION, attempting to stop service");
try {
mSpeechService.removeListener(mSpeechServiceListener);
//original mActivity.unbindService(mServiceConnection);
app.ctx.unbindService(mServiceConnection);
mSpeechService = null;
}
catch(Exception e){
app.loge("Service Shutdown exception: "+e);
}
}
catch(Exception e){
app.loge("CAUTION, attempting to stop service FAILED: "+e.toString());
}
}
}
}
};
thread.start();
}
private static void stopVoiceRecorder() {
loge("stopVoiceRecorder");
if (mVoiceRecorder != null) {
mVoiceRecorder.stop();
mVoiceRecorder = null;
}
}
我是否正确停止服务以避免65秒限制错误?有什么建议吗?
答案 0 :(得分:0)
我设法通过在streamObserver中的OnNext()方法中添加finishRecognizing()来解决它:
public void onNext(StreamingRecognizeResponse response) {
String text = null;
boolean isFinal = false;
if (response.getResultsCount() > 0) {
final StreamingRecognitionResult result = response.getResults(0);
isFinal = result.getIsFinal();
if (result.getAlternativesCount() > 0) {
final SpeechRecognitionAlternative alternative = result.getAlternatives(0);
text = alternative.getTranscript();
}
}
if (text != null) {
for (Listener listener : mListeners) {
listener.onSpeechRecognized(text, isFinal);
}
if(isFinal)
{
finishRecognizing();
}
}
}