public bool Train()
{
_words = new List <string>();
_hmms = new List <string>();
_models = new List <HMMWrapper>();
foreach (TrainFilesCarrier.TrainFileRow ent in tbEntry)
{
if (!_words.Contains(ent.Word))
{
_words.Add(ent.Word);
LogUtil.Info("Word : {0}\n", ent.Word);
}
}
foreach (string word in _words)
{
List <string> files = new List <string>();
LogUtil.Info("List File for Word : {0}\n", word);
VCDir.CreateDirectory(VCDir.Instance.TrainDirMFCC + word);
VCDir.CreateDirectory(VCDir.Instance.TrainDirHMM);
foreach (TrainFilesCarrier.TrainFileRow ent in tbEntry)
{
if (word.Equals(ent.Word))
{
string audio = VCDir.Instance.TrainDirAudio + ent.Path;
string mfcc = VCDir.Instance.TrainDirMFCC + ent.Path;
WavFileWrapper Wav = new WavFileWrapper(audio);
if (Wav.Load())
{
Wav.NormalizeWave(1.0f);
if (VCContext.Instance.MFCCOptions.ShiftSampleToZero)
{
Wav.ShifToZero();
}
Wav.SelectedWave((uint)ent.Start, (uint)ent.End);
MFCCWrapper Mfcc = new MFCCWrapper(Wav, VCContext.Instance.MFCCOptions.TimeFrame, VCContext.Instance.MFCCOptions.TimeShift, VCContext.Instance.MFCCOptions.CepFilter, VCContext.Instance.MFCCOptions.LowFreq, VCContext.Instance.MFCCOptions.HighFreq, VCContext.Instance.MFCCOptions.NumCeps, 2);
Mfcc.UserStandardization = VCContext.Instance.MFCCOptions.UseStandardization;
bool res = Mfcc.Process();
res &= Mfcc.SaveMFCC(mfcc + ".Mfcc" + ".xml");
res &= Mfcc.SaveDeltaMFCC(mfcc + ".Delta" + ".xml");
res &= Mfcc.SaveDoubleMFCC(mfcc + ".Double" + ".xml");
if (res)
{
switch (VCContext.Instance.MFCCOptions.TrainCofficientType)
{
case 0:
files.Add(mfcc + ".Mfcc" + ".xml");
break;
case 1:
files.Add(mfcc + ".Delta" + ".xml");
break;
case 2:
files.Add(mfcc + ".Double" + ".xml");
break;
}
}
LogUtil.Info("File : W - {0} Path - {1} MFCC process - {2}\n", ent.Word, VCDir.Instance.TrainDirMFCC + ent.Path + ".xml", (res) ? "Completed" : "Failed");
}
}
}
HMMWrapper hmm = new HMMWrapper(VCContext.Instance.MFCCOptions.TrainHMMState, VCContext.Instance.MFCCOptions.TrainGMMComponent, VCContext.Instance.MFCCOptions.TrainGMMCovVar);
bool ok = hmm.Trainning(files);
LogUtil.Info("Train word: {0} - {1}\n", word, (ok)? "Completed": "Failed");
if (ok)
{
hmm.Save(VCDir.Instance.TrainDirHMM + word + ".xml");
_models.Add(hmm);
_hmms.Add(word + ".xml");
LogUtil.Info("Save {0} Model to {1}\n", word, VCDir.Instance.TrainDirHMM + word + ".xml");
}
}
Save(VCDir.Instance.TrainXmlFile);
return(true);
}
