bool SpeechRec::ProcessOnline(void *inpSig, int sigNBytes, bool lastFrame)
{
if(!ConvertWaveformFormat(waveFormat, inpSig, sigNBytes, &waveform, &waveformLen))
return false;
actualParams->AddWaveform(waveform, waveformLen);
while(actualParams->GetFeatures(params + bunchIdx * actualParams->GetNParams()))
{
// minima thresholds etc.
FrameBasedNormalization(params + bunchIdx * actualParams->GetNParams(), actualParams->GetNParams());
// initial interval based mean and variance normalization
Norm.ProcessFrame(actualParams->GetNParams(), params + bunchIdx * actualParams->GetNParams());
lastParamVector = bunchIdx;
bunchIdx++;
if(bunchIdx == bunchSize)
{
if(mTrapsEnabled)
{
TR.CalcFeaturesBunched(params, posteriors, bunchSize);
// this function is split into two parts just becasuse of saving in off-line mode
int j;
for(j = 0; j < bunchSize * TR.GetNumOuts(); j++)
posteriors[j] = (*postSoftFunc)(posteriors[j], postSoftArg1, postSoftArg2, postSoftArg3);
for(j = 0; j < bunchSize * TR.GetNumOuts(); j++)
posteriors[j] = (*decSoftFunc)(posteriors[j], decSoftArg1, decSoftArg2, decSoftArg3);
int i;
for(i = 0; i < bunchSize; i++)
{
if(TR.GetDelay() >= TR.GetTrapShift()) // Initialization of TRAPS - skip half of the trap length
DE->ProcessFrame(posteriors + i * TR.GetNumOuts());
}
}
else
{
int i;
for(i = 0; i < bunchSize; i++)
{
DE->ProcessFrame(params + i * actualParams->GetNParams());
}
}
bunchIdx = 0;
}
}
if(lastFrame)
ProcessTail();
return true;
}
void Process444Quarter(softidct* p,int x,int y)
{
ProcessHead(p,x,y);
SetPtr444(p,x,y,2);
ProcessTail(p,x,y);
}
void Process444Half(softidct* p,int x,int y)
{
ProcessHead(p,x,y);
SetPtr444(p,x,y,1);
ProcessTail(p,x,y);
}
