有人可以解释我如何使用pocketsphinx将我的演讲转换为文本吗?我试试这个:
import com.example.speechtutor.SpeechRecognizerRecorder;
import com.example.speechtutor.SpeechRecognizerRecorderSetup;
import edu.cmu.pocketsphinx.Hypothesis;
import edu.cmu.pocketsphinx.RecognitionListener;
import static edu.cmu.pocketsphinx.Assets.syncAssets;
public class SpeakActivity extends Activity implements RecognitionListener {
SpeechRecognizerRecorder recognizer;
private File appDir;
String filePath;
private static final String KWS_SEARCH_NAME = "wakeup";
private static final String FORECAST_SEARCH = "forecast";
private static final String DIGITS_SEARCH = "digits";
private static final String MENU_SEARCH = "menu";
private static final String KEYPHRASE = "hello";
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_speak);
try {
Log.d("Tag","before trying to sync assets");
appDir = syncAssets(getApplicationContext());
} catch (IOException e) {
throw new RuntimeException("failed to synchronize assets", e);
}
Log.d("TAG","before recognizer instantiaiton");
recognizer = SpeechRecognizerRecorderSetup.defaultSetup()
.setAcousticModel(new File(appDir, "models/hmm/en-us-semi"))
.setDictionary(new File(appDir, "models/lm/cmu07a.dic"))
.setRawLogDir(appDir)
.setKeywordThreshold(200)
.setAudioStorageDirectory("SpeechTutor")
.getRecognizer();
filePath = recognizer.getAudioStorageFilePath();
recognizer.addListener(this);
// Create keyword-activation search.
File fillers = new File(appDir, "models/grammar/menu.gram");
recognizer.addKeywordSearch(KWS_SEARCH_NAME, fillers.getPath());
// Create grammar-based searches.
//File menuGrammar = new File(appDir, "models/grammar/menu.gram");
//recognizer.addGrammarSearch(MENU_SEARCH, menuGrammar);
File digitsGrammar = new File(appDir, "models/grammar/digits.gram");
recognizer.addGrammarSearch(DIGITS_SEARCH, digitsGrammar);
// Create language model search.
//digitsGrammar.File languageModel = new File(appDir, "models/lm/weather.dmp");
//recognizer.addNgramSearch(FORECAST_SEARCH, languageModel);
recognizer.startListening(KEYPHRASE);
}
@Override
public void onPartialResult(Hypothesis arg0) {
String text = results.getHypstr();
Log.d("Spoken text",text);
}
@Override
public void onBeginningOfSpeech() {
}
}
当我说"你好"时,这段代码没有错误,但onPartialResult
调用。我的应用必须将每个语音转换为文本。请给我一个样品。
答案 0 :(得分:8)
您的代码包含多个问题。尝试关键字阈值为1e-60,1e-40,1e-20,1e-10,当然不是200行:
.setKeywordThreshold(200)
如果您只想查找关键字,则不需要这行语法:
File digitsGrammar = new File(appDir, "models/grammar/digits.gram");
recognizer.addGrammarSearch(DIGITS_SEARCH, digitsGrammar);
这部分看起来也不合理。关键字搜索会使用一个单词列表来搜索每行一个,而不是menu.gram
文件
File fillers = new File(appDir, "models/grammar/menu.gram");
recognizer.addKeywordSearch(KWS_SEARCH_NAME, fillers.getPath());
如果您要搜索单个关键字,则无需添加关键字搜索,只需为该短语添加关键短语搜索
recognizer.addKeyphraseSearch(KWS_SEARCH_NAME, "hello");
要开始命名搜索,请指出它的名称,而不是关键字itselsf:
recognizer.startListening(KWS_SEARCH_NAME);
正确的代码应如下所示:
import com.example.speechtutor.SpeechRecognizerRecorder;
import com.example.speechtutor.SpeechRecognizerRecorderSetup;
import edu.cmu.pocketsphinx.Hypothesis;
import edu.cmu.pocketsphinx.RecognitionListener;
import static edu.cmu.pocketsphinx.Assets.syncAssets;
public class SpeakActivity extends Activity implements RecognitionListener {
SpeechRecognizerRecorder recognizer;
private File appDir;
private static final String KWS_SEARCH_NAME = "wakeup";
private static final String KEYPHRASE = "hello";
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_speak);
try {
Log.d("Tag","before trying to sync assets");
appDir = syncAssets(getApplicationContext());
} catch (IOException e) {
throw new RuntimeException("failed to synchronize assets", e);
}
Log.d("TAG","before recognizer instantiaiton");
recognizer = SpeechRecognizerRecorderSetup.defaultSetup()
.setAcousticModel(new File(appDir, "models/hmm/en-us-semi"))
.setDictionary(new File(appDir, "models/lm/cmu07a.dic"))
.setRawLogDir(appDir)
.setKeywordThreshold(1e-40)
.setAudioStorageDirectory("SpeechTutor")
.getRecognizer();
recognizer.addListener(this);
recognizer.addKeyphraseSearch(KWS_SEARCH_NAME, KEYPHRASE);
recognizer.startListening(KWS_SEARCH_NAME);
}
@Override
public void onPartialResult(Hypothesis hyp) {
if (hyp == null)
return;
// Restart the recognition if keyword is found
String text = hyp.getHypstr();
Log.d("Spoken text",text);
recognizer.cancel();
recognizer.startSearch(KWS_SEARCH_NAME);
}
}