public SpeechAligner(string amPath, string dictPath, string g2PPath)
{
var configuration = new Configuration();
configuration.AcousticModelPath = amPath;
configuration.DictionaryPath = dictPath;
_context = new Context(configuration);
if (g2PPath != null)
{
_context.SetLocalProperty("dictionary->allowMissingWords", "true");
_context.SetLocalProperty("dictionary->createMissingWords", "true");
_context.SetLocalProperty("dictionary->g2pModelPath", g2PPath);
_context.SetLocalProperty("dictionary->g2pMaxPron", "2");
}
_context.SetLocalProperty("lexTreeLinguist->languageModel", "dynamicTrigramModel");
_recognizer = (Recognizer)_context.GetInstance(typeof(Recognizer));
_grammar = (AlignerGrammar)_context.GetInstance(typeof(AlignerGrammar));
_languageModel = (DynamicTrigramModel)_context.GetInstance(typeof(DynamicTrigramModel));
Tokenizer = new UsEnglishTokenizer();
}
public string align()
{
if (PROP_PERFORM_SPOTTING)
{
phraseSpotterResult = new List <PhraseSpotterResult>();
collectPhraseSpottingResult();
}
cm = new ConfigurationManager(config);
AlignerSearchManager sm = (AlignerSearchManager)cm
.lookup("searchManager");
sm.setSpotterResult(phraseSpotterResult);
optimize();
setGlobalProperties();
recognizer = (Recognizer)cm.lookup(PROP_RECOGNIZER);
grammar = (AlignerGrammar)cm.lookup(PROP_GRAMMAR);
datasource = (AudioFileDataSource)cm.lookup(PROP_AUDIO_DATA_SOURCE);
datasource.setAudioFile(new File(audioFile), null);
allocate();
return(start_align());
}
