我正在为语音命令开发app。我使用了pocketsphinx demo。我也使用http://www.speech.cs.cmu.edu/tools/lextool.html创建了字典 但是当我说话时，它不能识别正确的单词而不是它给出另一个单词。以下是我的代码
package edu.cmu.pocketsphinx.demo;
import android.app.Service;
import android.content.Intent;
import android.os.AsyncTask;
import android.os.IBinder;
import android.util.Log;
import android.widget.Toast;
import java.io.File;
import java.io.IOException;
import java.util.HashMap;
import edu.cmu.pocketsphinx.Assets;
import edu.cmu.pocketsphinx.Hypothesis;
import edu.cmu.pocketsphinx.RecognitionListener;
import edu.cmu.pocketsphinx.SpeechRecognizer;
import edu.cmu.pocketsphinx.SpeechRecognizerSetup;
import static android.widget.Toast.makeText;
public class FirstService extends Service implements
RecognitionListener {
/* Named searches allow to quickly reconfigure the decoder */
private static final String KWS_SEARCH = "wakeup";
// private static final String FORECAST_SEARCH = "pimple";
// private static final String DIGITS_SEARCH = "help";
// private static final String PHONE_SEARCH = "phones";
private static final String MENU_SEARCH = "menu";
/* Keyword we are looking for to activate menu */
private static final String KEYPHRASE = "hello";
/* Used to handle permission request */
private static final int PERMISSIONS_REQUEST_RECORD_AUDIO = 1;
private SpeechRecognizer recognizer;
private HashMap<String, Integer> captions;
private static String TAG = "Inchoo.net tutorial";
@Override
public IBinder onBind(Intent arg0) {
/* TODO Auto-generated method stub */
return null;
}
@Override
public void onStart(Intent intent, int startId) {
// TODO Auto-generated method stub
super.onStart(intent, startId);
Log.d(TAG, "FirstService started");
runRecognizerSetup();
// this.stopSelf();
}
@Override
public void onDestroy() {
// TODO Auto-generated method stub
super.onDestroy();
Log.d(TAG, "FirstService destroyed");
}
private void runRecognizerSetup() {
// Recognizer initialization is a time-consuming and it involves IO,
// so we execute it in async task
new AsyncTask<Void, Void, Exception>() {
@Override
protected Exception doInBackground(Void... params) {
try {
Assets assets = new Assets(FirstService.this);
File assetDir = assets.syncAssets();
setupRecognizer(assetDir);
} catch (IOException e) {
return e;
}
return null;
}
@Override
protected void onPostExecute(Exception result) {
if (result != null) {
} else {
switchSearch(KWS_SEARCH);
}
}
}.execute();
}
/**
* In partial result we get quick updates about current hypothesis. In
* keyword spotting mode we can react here, in other modes we need to wait
* for final result in onResult.
*/
@Override
public void onPartialResult(Hypothesis hypothesis) {
if (hypothesis == null)
return;
String text = hypothesis.getHypstr();
Log.d("TEMP RESULT",text);
/// if (text.equals(KEYPHRASE))
switchSearch(MENU_SEARCH);
// else if (text.equals(DIGITS_SEARCH))
// switchSearch(DIGITS_SEARCH);
// else if (text.equals(PHONE_SEARCH))
// switchSearch(PHONE_SEARCH);
// else if (text.equals(FORECAST_SEARCH))
// switchSearch(FORECAST_SEARCH);
// else
//((TextView) findViewById(R.id.result_text)).setText(text);
}
/**
* This callback is called when we stop the recognizer.
*/
@Override
public void onResult(Hypothesis hypothesis) {
if (hypothesis != null) {
String text = hypothesis.getHypstr();
Log.d(" RESULT",text);
makeText(getApplicationContext(), text, Toast.LENGTH_SHORT).show();
}
}
@Override
public void onBeginningOfSpeech() {
}
/**
* We stop recognizer here to get a final result
*/
@Override
public void onEndOfSpeech() {
Log.d("getSearchName()",recognizer.getSearchName());
if (!recognizer.getSearchName().equals(KWS_SEARCH))
switchSearch(KWS_SEARCH);
}
private void switchSearch(String searchName) {
recognizer.stop();
// If we are not spotting, start listening with timeout (10000 ms or 10 seconds).
if (searchName.equals(KWS_SEARCH))
recognizer.startListening(searchName);
else
recognizer.startListening(searchName, 10000);
// String caption = getResources().getString(captions.get(searchName));
// ((TextView) findViewById(R.id.caption_text)).setText(caption);
}
private void setupRecognizer(File assetsDir) throws IOException {
// The recognizer can be configured to perform multiple searches
// of different kind and switch between them
recognizer = SpeechRecognizerSetup.defaultSetup()
.setAcousticModel(new File(assetsDir, "en-us-ptm"))
.setDictionary(new File(assetsDir, "cmudict-en-us.dict"))
.setRawLogDir(assetsDir) // To disable logging of raw audio comment out this call (takes a lot of space on the device)
.setKeywordThreshold(1e-45f) // Threshold to tune for keyphrase to balance between false alarms and misses
.setBoolean("-allphone_ci", true) // Use context-independent phonetic search, context-dependent is too slow for mobile
.getRecognizer();
recognizer.addListener(this);
/** In your application you might not need to add all those searches.
* They are added here for demonstration. You can leave just one.
*/
// Create keyword-activation search.
recognizer.addKeyphraseSearch(KWS_SEARCH, KEYPHRASE);
// Create grammar-based search for selection between demos
File menuGrammar = new File(assetsDir, "menu.gram");
recognizer.addGrammarSearch(MENU_SEARCH, menuGrammar);
// // Create grammar-based search for digit recognition
// File digitsGrammar = new File(assetsDir, "digits.gram");
// recognizer.addGrammarSearch(DIGITS_SEARCH, digitsGrammar);
//
// // Create language model search
// File languageModel = new File(assetsDir, "weather.dmp");
// recognizer.addNgramSearch(FORECAST_SEARCH, languageModel);
//
// // Phonetic search
// File phoneticModel = new File(assetsDir, "en-phone.dmp");
// recognizer.addAllphoneSearch(PHONE_SEARCH, phoneticModel);
}
@Override
public void onError(Exception error) {
}
@Override
public void onTimeout() {
Log.d("TIME OUt","TIMEOUT"+KWS_SEARCH);
switchSearch(KWS_SEARCH);
}
}
答案 0 :(得分：0)
默认模式是为美国英语创建的，它不支持印度英语，并且预计印度英语的准确度不高。
印度英语当然是我们的首要任务，但我们需要当地人帮助我们建立系统。你作为一个本地人可以提供很多帮助，否则你必须等到有人收集到足够的数据。