android texttospeech如何实现语音识别

Android TextToSpeech（TTS）库本身并不提供语音识别功能。但是，您可以结合使用Android的语音识别服务来实现这个需求。以下是实现语音识别的步骤：

1. 添加权限：在AndroidManifest.xml文件中添加以下权限：

<
    uses-permission android:name="android.permission.RECORD_AUDIO" />
    
<
    uses-permission android:name="android.permission.INTERNET" />
    

1. 检查权限：在运行时检查用户是否已授予这些权限。如果尚未授权，请请求用户授权。

private static final int REQUEST_RECORD_AUDIO_PERMISSION = 200;


private void requestRecordAudioPermission() {

    if (ContextCompat.checkSelfPermission(this, Manifest.permission.RECORD_AUDIO)
            != PackageManager.PERMISSION_GRANTED) {

        ActivityCompat.requestPermissions(this,
                new String[]{
Manifest.permission.RECORD_AUDIO}
    ,
                REQUEST_RECORD_AUDIO_PERMISSION);

    }
 else {
    
        startRecording();

    }

}


@Override
public void onRequestPermissionsResult(int requestCode, @NonNull String[] permissions, @NonNull int[] grantResults) {

    if (requestCode == REQUEST_RECORD_AUDIO_PERMISSION) {
    
        if (grantResults.length >
     0 &
    &
 grantResults[0] == PackageManager.PERMISSION_GRANTED) {
    
            startRecording();

        }
 else {
    
            Toast.makeText(this, "Permission denied. Could not record audio.", Toast.LENGTH_SHORT).show();

        }

    }

}

1. 开始录音：使用MediaRecorder类开始录音。

private void startRecording() {
    
    MediaRecorder mediaRecorder = new MediaRecorder();
    
    mediaRecorder.setAudioSource(MediaRecorder.AudioSource.MIC);
    
    mediaRecorder.setOutputFormat(MediaRecorder.OutputFormat.THREE_GPP);
    
    mediaRecorder.setAudioEncoder(MediaRecorder.AudioEncoder.AMR_NB);
    
    mediaRecorder.setOutputFile("/sdcard/audio.3gp");


    try {
    
        mediaRecorder.prepare();
    
        mediaRecorder.start();

    }
 catch (IOException e) {
    
        e.printStackTrace();

    }

}

1. 停止录音：在适当的时候停止录音，例如在用户按下停止按钮时。

private void stopRecording() {

    if (mediaRecorder != null) {
    
        mediaRecorder.stop();
    
        mediaRecorder.release();
    
        mediaRecorder = null;

    }

}
    

1. 使用语音识别器：创建一个SpeechRecognizer实例并使用它来识别用户的语音。

private SpeechRecognizer speechRecognizer;
    
private Intent speechRecognizerIntent;


private void initSpeechRecognizer() {
    
    speechRecognizer = SpeechRecognizer.createSpeechRecognizer(this);
    
    speechRecognizerIntent = new Intent(RecognizerIntent.ACTION_RECOGNIZE_SPEECH);
    
    speechRecognizerIntent.putExtra(RecognizerIntent.EXTRA_LANGUAGE_MODEL, RecognizerIntent.LANGUAGE_MODEL_FREE_FORM);
    
    speechRecognizerIntent.putExtra(RecognizerIntent.EXTRA_LANGUAGE, "en-US");
    
    speechRecognizerIntent.putExtra(RecognizerIntent.EXTRA_PARTIAL_RESULTS, true);

}

1. 开始识别：开始语音识别并处理结果。

private void startVoiceRecognition() {
    
    speechRecognizer.startListening(speechRecognizerIntent);

}


private void stopVoiceRecognition() {

    if (speechRecognizer != null) {
    
        speechRecognizer.stopListening();

    }

}


@Override
public void onResults(Bundle results) {
    
    ArrayList<
    String>
     matches = results.getStringArrayList(SpeechRecognizer.RESULTS_RECOGNITION);
    
    if (matches != null &
    &
 !matches.isEmpty()) {
    
        String recognizedText = matches.get(0);

        // 处理识别到的文本
    }

}

1. 释放资源：在不再需要语音识别器时，释放相关资源。

private void releaseSpeechRecognizer() {

    if (speechRecognizer != null) {
    
        speechRecognizer.destroy();
    
        speechRecognizer = null;

    }

}
    

现在，您可以结合使用TextToSpeech和语音识别器来实现所需的功能。例如，您可以在用户说出某些关键词时触发语音识别，并根据识别到的内容执行相应操作。

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