windows-nt/Source/XPSP1/NT/enduser/speech/tts/common/sigproc/sigproc.cpp

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2020-09-26 03:20:57 -05:00
/******************************************************************************
* sigproc.cpp *
*-------------*
*
*------------------------------------------------------------------------------
* Copyright (C) 1999 Entropic, Inc
* Copyright (C) 2000 Microsoft Corporation Date: 03/02/00
* All Rights Reserved
*
********************************************************************* PACOG ***/
#include "sigprocInt.h"
#define PREEMP_FACTOR 0.97F
/*****************************************************************************
* Cepstrum *
*----------*
* Description:
* compute lpc ceptrum form lpc coefficients
*
******************************************************************* PACOG ***/
double* Cepstrum(double *pdData, int iNumData, int iLpcOrder, int iCepOrder)
{
double* pdCepCoef = 0;
double* pdWindow = 0;
double* pdLpcCoef = 0;
assert(iLpcOrder > 0);
assert(iCepOrder > 0);
// get lpc coef
pdWindow = ComputeWindow (WINDOW_HAMM, iNumData, false);
if (!pdWindow)
{
return 0;
}
for (int i=1; i<iNumData; i++)
{
pdWindow[i] *= pdData[i] - PREEMP_FACTOR * pdData[i-1];
}
pdLpcCoef = GetDurbinCoef (pdWindow , iNumData, iLpcOrder, LPC_ALFA, NULL);
if ((pdCepCoef = new double[iCepOrder]) == 0)
{
return 0;
}
Alfa2Cepstrum (pdLpcCoef, iLpcOrder, pdCepCoef, iCepOrder);
delete[] pdWindow;
delete[] pdLpcCoef;
return pdCepCoef;
}
/*****************************************************************************
* Alfa2Cepstrum *
*---------------*
* Description:
* compute lpc cepstrum from lpc coefficients
* a = alfa (lpc) coefs, input
* p = order of lpc analysis
* c = cepstrum coefs, output
* n = order of cepstral analysis
******************************************************************* PACOG ***/
void Alfa2Cepstrum (double* pdAlfa, int iNumAlfa, double* pdCepstrum, int iNumCepstrum)
{
double dAux;
int k;
pdCepstrum[0] = -pdAlfa[0];
for (int i = 1; i < iNumCepstrum; i++)
{
if (i<iNumAlfa)
{
pdCepstrum[i] = -pdAlfa[i];
}
else
{
pdCepstrum[i] = 0.0;
}
dAux = 0.0;
for (k = 1; k<=i && k<=iNumAlfa; k++)
{
dAux += ((double)(i+1-k)/(double)(i+1)) * pdCepstrum[i-k] * pdAlfa[k-1];
}
pdCepstrum[i] -= dAux;
}
}
/*****************************************************************************
* EuclideanDist *
*---------------*
* Description:
*
******************************************************************* PACOG ***/
double EuclideanDist (double c1[], double c2[], int iLen)
{
double dDist = 0.0;
for (int i = 0; i < iLen; i++)
{
dDist += (c1[i] - c2[i]) * (c1[i] - c2[i]);
}
return dDist;
}
/*****************************************************************************
* Energy *
*--------*
* Description:
* Compute the time-weighted RMS of a size segment of data. The data
* is weighted by a window of type w_type before RMS computation. w_type
* is decoded above in window().
******************************************************************* PACOG ***/
double Energy (double* pdData, int iNumData, int iWindType)
{
static int iWindLen = 0;
static double *pdWindow = 0;
double dWData;
double dSum = 0.0;
assert (pdData);
if (iWindLen != iNumData)
{
if (pdWindow)
{
delete[] pdWindow;
}
pdWindow = ComputeWindow (iWindType, iNumData, false);
if (!pdWindow)
{
fprintf (stderr, "Memory error in Energy\n");
return(0.0);
}
iWindLen = iNumData;
}
for (int i=0; i<iNumData; i++)
{
dWData = pdData[i] * pdWindow[i];
dSum += dWData * dWData;
}
return (double)sqrt((double)(dSum/iNumData));
}
/*****************************************************************************
* RemoveDc *
*----------*
* Description:
*
******************************************************************* PACOG ***/
int RemoveDc (double* pdSamples, int iNumSamples)
{
double dDc = 0.0;
assert (pdSamples);
assert (iNumSamples>0);
for (int i=0; i<iNumSamples; i++)
{
dDc += pdSamples[i];
}
dDc /= iNumSamples;
for (i=0; i<iNumSamples; i++)
{
pdSamples[i] -= dDc;
}
return (int) dDc;
}