[英]Android Speech Recognition as a service on Android 4.1 & 4.2
我已經成功地將連續語音識別工作(使用 SpeechRecognizer 類)作為服務在所有 Android 版本(最高 4.1)上運行。 我的問題涉及讓它在 4.1 和 4.2 版本上工作,因為眾所周知,存在一個問題,即在語音識別開始幾秒鍾后,API 沒有按照文檔中的說明執行,如果沒有檢測到語音輸入,則它就像如果語音識別器無聲地死亡。 ( http://code.google.com/p/android/issues/detail?id=37883 )
我發現了一個問題,該問題提出了解決此問題的方法( 語音識別在幾秒鍾后停止偵聽),但我不確定如何實現此解決方案所需的處理程序。 我知道這種變通方法會導致每隔幾秒鍾發出一次“嗶嗶聲”,但獲得持續的語音識別對我來說更為重要。
如果有人有任何其他替代解決方法,那么我也想聽聽。
這是 android 版本 4.1.1 的變通方法。
public class MyService extends Service
{
protected AudioManager mAudioManager;
protected SpeechRecognizer mSpeechRecognizer;
protected Intent mSpeechRecognizerIntent;
protected final Messenger mServerMessenger = new Messenger(new IncomingHandler(this));
protected boolean mIsListening;
protected volatile boolean mIsCountDownOn;
private boolean mIsStreamSolo;
static final int MSG_RECOGNIZER_START_LISTENING = 1;
static final int MSG_RECOGNIZER_CANCEL = 2;
@Override
public void onCreate()
{
super.onCreate();
mAudioManager = (AudioManager) getSystemService(Context.AUDIO_SERVICE);
mSpeechRecognizer = SpeechRecognizer.createSpeechRecognizer(this);
mSpeechRecognizer.setRecognitionListener(new SpeechRecognitionListener());
mSpeechRecognizerIntent = new Intent(RecognizerIntent.ACTION_RECOGNIZE_SPEECH);
mSpeechRecognizerIntent.putExtra(RecognizerIntent.EXTRA_LANGUAGE_MODEL,
RecognizerIntent.LANGUAGE_MODEL_FREE_FORM);
mSpeechRecognizerIntent.putExtra(RecognizerIntent.EXTRA_CALLING_PACKAGE,
this.getPackageName());
}
protected static class IncomingHandler extends Handler
{
private WeakReference<MyService> mtarget;
IncomingHandler(MyService target)
{
mtarget = new WeakReference<MyService>(target);
}
@Override
public void handleMessage(Message msg)
{
final MyService target = mtarget.get();
switch (msg.what)
{
case MSG_RECOGNIZER_START_LISTENING:
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN)
{
// turn off beep sound
if (!mIsStreamSolo)
{
mAudioManager.setStreamSolo(AudioManager.STREAM_VOICE_CALL, true);
mIsStreamSolo = true;
}
}
if (!target.mIsListening)
{
target.mSpeechRecognizer.startListening(target.mSpeechRecognizerIntent);
target.mIsListening = true;
//Log.d(TAG, "message start listening"); //$NON-NLS-1$
}
break;
case MSG_RECOGNIZER_CANCEL:
if (mIsStreamSolo)
{
mAudioManager.setStreamSolo(AudioManager.STREAM_VOICE_CALL, false);
mIsStreamSolo = false;
}
target.mSpeechRecognizer.cancel();
target.mIsListening = false;
//Log.d(TAG, "message canceled recognizer"); //$NON-NLS-1$
break;
}
}
}
// Count down timer for Jelly Bean work around
protected CountDownTimer mNoSpeechCountDown = new CountDownTimer(5000, 5000)
{
@Override
public void onTick(long millisUntilFinished)
{
// TODO Auto-generated method stub
}
@Override
public void onFinish()
{
mIsCountDownOn = false;
Message message = Message.obtain(null, MSG_RECOGNIZER_CANCEL);
try
{
mServerMessenger.send(message);
message = Message.obtain(null, MSG_RECOGNIZER_START_LISTENING);
mServerMessenger.send(message);
}
catch (RemoteException e)
{
}
}
};
@Override
public void onDestroy()
{
super.onDestroy();
if (mIsCountDownOn)
{
mNoSpeechCountDown.cancel();
}
if (mSpeechRecognizer != null)
{
mSpeechRecognizer.destroy();
}
}
protected class SpeechRecognitionListener implements RecognitionListener
{
@Override
public void onBeginningOfSpeech()
{
// speech input will be processed, so there is no need for count down anymore
if (mIsCountDownOn)
{
mIsCountDownOn = false;
mNoSpeechCountDown.cancel();
}
//Log.d(TAG, "onBeginingOfSpeech"); //$NON-NLS-1$
}
@Override
public void onBufferReceived(byte[] buffer)
{
}
@Override
public void onEndOfSpeech()
{
//Log.d(TAG, "onEndOfSpeech"); //$NON-NLS-1$
}
@Override
public void onError(int error)
{
if (mIsCountDownOn)
{
mIsCountDownOn = false;
mNoSpeechCountDown.cancel();
}
mIsListening = false;
Message message = Message.obtain(null, MSG_RECOGNIZER_START_LISTENING);
try
{
mServerMessenger.send(message);
}
catch (RemoteException e)
{
}
//Log.d(TAG, "error = " + error); //$NON-NLS-1$
}
@Override
public void onEvent(int eventType, Bundle params)
{
}
@Override
public void onPartialResults(Bundle partialResults)
{
}
@Override
public void onReadyForSpeech(Bundle params)
{
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN)
{
mIsCountDownOn = true;
mNoSpeechCountDown.start();
}
Log.d(TAG, "onReadyForSpeech"); //$NON-NLS-1$
}
@Override
public void onResults(Bundle results)
{
//Log.d(TAG, "onResults"); //$NON-NLS-1$
}
@Override
public void onRmsChanged(float rmsdB)
{
}
}
}
02/16/2013 - 如果您在應用程序中使用 Text To Speech 修復嗶聲,請確保關閉 onResults 中的 Solo 流
如果你真的想在沒有互聯網連接的情況下實現連續監聽,你需要考慮第三方包,其中之一是 CMUSphinx,查看Pocketsphinx android 演示,例如如何在離線狀態下有效地監聽關鍵字並對特定命令做出反應,比如關鍵短語“哦,強大的電腦”。 執行此操作的代碼很簡單:
您創建一個識別器並添加關鍵字發現搜索:
recognizer = defaultSetup()
.setAcousticModel(new File(modelsDir, "hmm/en-us-semi"))
.setDictionary(new File(modelsDir, "lm/cmu07a.dic"))
.setKeywordThreshold(1e-5f)
.getRecognizer();
recognizer.addListener(this);
recognizer.addKeywordSearch(KWS_SEARCH_NAME, KEYPHRASE);
switchSearch(KWS_SEARCH_NAME);
並定義一個監聽器:
@Override
public void onPartialResult(Hypothesis hypothesis) {
String text = hypothesis.getHypstr();
if (text.equals(KEYPHRASE))
// do something
}
對於任何試圖使嗶聲靜音的人,重新分級 @HoanNguyen 的答案,這是非常好的,但要小心,如 api 集中所說,setStreamSolo 是累積性的,因此如果語音識別中出現錯誤,則調用錯誤(例如沒有互聯網連接)然后 setStremSolo true 被一次又一次地調用,這將導致您的應用程序使整個手機靜音(非常糟糕)! 解決方案是將 setStremMute(false) 添加到 SpeechRecognizer onError 中。
查看我的演示應用程序: https : //github.com/galrom/ContinuesVoiceRecognition
我建議同時使用 PockeySphix 和 SpeechRecognizer。
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