如何在我的Android应用程序中添加继续语音识别？

Question

我正在尝试在我的Android应用程序中实现继续语音识别。我已经遵循了这个链接编码。这个继续语音识别在两天前工作。但是现在语音识别工作不好，它将需要更多的时间进行语音监听。如何解决这个问题。请指导我。谢谢

识别编码：

// starts the service
    protected void startListening() {
        try {
            initSpeech();
            Intent intent = new Intent(RecognizerIntent.ACTION_RECOGNIZE_SPEECH);
            //intent.putExtra(RecognizerIntent.EXTRA_LANGUAGE_MODEL,RecognizerIntent.LANGUAGE_MODEL_WEB_SEARCH);
            intent.putExtra(RecognizerIntent.EXTRA_LANGUAGE, "en-US");
             if (!intent.hasExtra(RecognizerIntent.EXTRA_CALLING_PACKAGE))
            {
                intent.putExtra(RecognizerIntent.EXTRA_CALLING_PACKAGE,
                        "com.dummy");
            }
            sr.startListening(intent);
        } catch(Exception ex) {
            Log.d("SpeechRecognitionService", "Bei der Initialisierung des SpeechRecognizers ist ein Fehler aufgetreten");
        }
    }

    // stops the service
    protected void stopListening() {
        if (sr != null) {
            sr.stopListening();
            sr.cancel();
            sr.destroy();
        }
        sr = null;
    }

    protected void initSpeech() {
        if (sr == null) {
            sr = SpeechRecognizer.createSpeechRecognizer(this);
            if (!SpeechRecognizer.isRecognitionAvailable(context)) {
                Toast.makeText(context, "Speech Recognition is not available",
                        Toast.LENGTH_LONG).show();
                finish();
            }
            sr.setRecognitionListener(VoiceRecognitionListener.getInstance());
        }
    }

用户开始说话

public void onBeginningOfSpeech() {
            System.out.println("Starting to listen");
        }

        public void onBufferReceived(byte[] buffer) { }

        // User finished speaking
        public void onEndOfSpeech() {
            System.out.println("Waiting for result...");
        }

Answer 1

我找到了减少说话和收到结果之间时间的解决方案。

请求部分结果，因为这些结果在全部结果之前交付。

我用了这些额外的东西：-

mRecognizerIntent = new Intent(RecognizerIntent.ACTION_RECOGNIZE_SPEECH);
mRecognizerIntent.putExtra(RecognizerIntent.EXTRA_LANGUAGE_PREFERENCE, Locale.getDefault().getLanguage().trim());
mRecognizerIntent.putExtra(RecognizerIntent.EXTRA_CALLING_PACKAGE, this.getPackageName());
mRecognizerIntent.putExtra(RecognizerIntent.EXTRA_LANGUAGE_MODEL, RecognizerIntent.LANGUAGE_MODEL_FREE_FORM);
mRecognizerIntent.putExtra(RecognizerIntent.EXTRA_PARTIAL_RESULTS, true);
mRecognizerIntent.putExtra(RecognizerIntent.EXTRA_SPEECH_INPUT_COMPLETE_SILENCE_LENGTH_MILLIS, 100);

mRecognizerIntent.putExtra(RecognizerIntent.EXTRA_MAX_RESULTS, 3);

mSongSpeechRecognitionListener = new SongSpeechRecognitionListener(mRippleBackground, mFloatingActionButton);

mSpeechRecognizer = SpeechRecognizer.createSpeechRecognizer(this);
mSpeechRecognizer.setRecognitionListener(mSongSpeechRecognitionListener);

然后在部分结果中

public void onPartialResults(final Bundle partialResults) {
    Log.i(LOG_TAG, "onPartialResults()");

    final List<String> partialResultList = partialResults.getStringArrayList(SpeechRecognizer.RESULTS_RECOGNITION);

for (final String result : partialResultList) {

    if (result.isEmpty()) {
    } else {
        mPartialResults++;
        if (mPartialResults == mPartialResultsMAX) {
            Log.i(LOG_TAG, "onPartialResults() EXECUTE");
            mFloatingActionButton.setEnabled(true);
            mAsyncTask.execute(result);
                break;
            }
        }
    }
}

我将mPartialResultsMAX设置为2，因为第一个部分结果似乎只有一个单词

当您收到部分结果时，可能需要取消语音识别器。