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features.cpp
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features.cpp
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#include "features.h"
soundFeatures::soundFeatures()
{
}
soundFeatures::~soundFeatures()
{
}
void soundFeatures::setData(double *data, long n, int window, int samp){
wavData = data;
subWindow = window;
wavSamples = n;
samplerate = samp;
}
map<char, vector<double> > soundFeatures::calcFeatures(string featString, int windowStart, int windowLength){
double mean, dev, zcr, hzcrr, kurtosis, skewness, variance, RMS, sharp, lpcc_order, loud;
double s_var ,s_mean, s_dev, s_kur, s_skew, s_centroid;
double spectrum[windowLength], autoCorr[windowLength+1], lpc[20], lpcc[15], mfcc[40], barkC[25];
int bark[26];
xtract_mel_filter mfccBank;
map <string, bool> calcFeat;
for(int k = 0; k < featString.size(); k++){
switch (featString[k]){
case 'a' :
case 'b' :
if(!calcFeat["zcr"]){
xtract[XTRACT_ZCR](wavData + windowStart, windowLength, NULL, &zcr);
calcFeat["zcr"] = true;
}
if(featString[k]== 'a') result['a'] = vector<double>{zcr};
if(featString[k]== 'b'){
double tempZRC;
double tempRes=0;
double tempN= windowLength / subWindow;
double tempAvg= zcr;
for (int i=0; i < windowLength ; i+=subWindow){
xtract[XTRACT_ZCR](wavData+i+windowStart, subWindow, NULL, &tempZRC);
if (tempZRC > 1.5 * tempAvg) tempRes++;
}
hzcrr = tempRes / (2*tempN);
result['b'] = vector<double>{hzcrr};
}
break;
case 'c':
case 'd':
if(!calcFeat["scalars"]){
xtract[XTRACT_MEAN](wavData + windowStart, windowLength, NULL, &mean);
xtract[XTRACT_VARIANCE](wavData + windowStart, windowLength, &mean, &variance);
xtract[XTRACT_STANDARD_DEVIATION](wavData + windowStart, windowLength, &variance, &dev);
calcFeat["scalars"] = true;
}
if(featString[k]== 'c'){
double temp_sca[2]={mean, dev};
xtract[XTRACT_KURTOSIS](wavData + windowStart, windowLength, temp_sca , &kurtosis);
result['c'] = vector<double>{kurtosis};
}
if(featString[k]== 'd'){
double temp_sca[2]={mean, dev};
xtract[XTRACT_SKEWNESS](wavData + windowStart, windowLength, temp_sca, &skewness);
result['d'] = vector<double>{skewness};
}
break;
case 'e':
case 'f':
case 'g':
case 'h':
case 'i':
case 'j':
case 'k':
if (!calcFeat["spectrum"]){
double temp1[4] = {(double)samplerate/windowLength, XTRACT_MAGNITUDE_SPECTRUM, 0.0f, 0.0f};
xtract_init_fft(windowLength, XTRACT_SPECTRUM);
xtract[XTRACT_SPECTRUM](wavData + windowStart, windowLength, &temp1[0], &spectrum[0]);
xtract_free_fft();
xtract[XTRACT_SPECTRAL_MEAN](spectrum, windowLength, NULL, &s_mean);
xtract[XTRACT_SPECTRAL_VARIANCE](spectrum, windowLength, &s_mean, &s_var);
xtract[XTRACT_SPECTRAL_STANDARD_DEVIATION](spectrum, windowLength, &s_var, &s_dev);
calcFeat["spectrum"] = true;
}
if(featString[k]== 'e') result['e'] = vector<double>{s_mean};
if(featString[k]== 'f') result['f'] = vector<double>{s_var};
if(featString[k]== 'g') result['g'] = vector<double>{s_dev};
{//radi odvajanja deklaracije temp unutar samo ovog bloka
double temp[2] = {s_mean, s_dev};
if(featString[k]== 'h'){
xtract[XTRACT_SPECTRAL_CENTROID](spectrum, windowLength, NULL, &s_centroid);
result['h'] = vector<double>{s_centroid};
}
if(featString[k]== 'i'){
xtract[XTRACT_SPECTRAL_KURTOSIS](spectrum, windowLength, temp, &s_kur);
result['i'] = vector<double>{s_kur};
}
if(featString[k]== 'j'){
xtract[XTRACT_SPECTRAL_SKEWNESS](spectrum, windowLength, temp, &s_skew);;
result['j'] = vector<double>{s_skew};
}
if(featString[k]== 'k'){
xtract[XTRACT_SHARPNESS](spectrum, windowLength/2, NULL, &sharp);
result['k'] = vector<double>{sharp};
}
}
break;
case 'l':
if (!calcFeat["spectrum"]){
double temp1[4] = {(double)samplerate/windowLength, XTRACT_MAGNITUDE_SPECTRUM, 0.0f, 0.0f};
xtract_init_fft(windowLength, XTRACT_SPECTRUM);
xtract[XTRACT_SPECTRUM](wavData + windowStart, windowLength, &temp1[0], &spectrum[0]);
xtract_free_fft();
calcFeat["spectrum"] = true;
}
xtract_init_bark(windowLength/2, samplerate, bark);
xtract[XTRACT_BARK_COEFFICIENTS](spectrum, windowLength/2, bark, barkC);
calcFeat["bark"] = true;
xtract[XTRACT_LOUDNESS](barkC, 10, NULL, &loud);
result['l'] = vector<double>{loud};
break;
case 'm':
xtract[XTRACT_RMS_AMPLITUDE](wavData + windowStart, windowLength, NULL, &RMS);
result['m'] = vector<double>{RMS};
break;
case 'n':
xtract[XTRACT_AUTOCORRELATION](wavData + windowStart, windowLength, NULL, autoCorr);
xtract[XTRACT_LPC](autoCorr, 20, NULL, lpc);
//lpcc_order = 15;
//xtract[XTRACT_LPCC](lpc + 10, 10, &lpcc_order, lpcc);
//result['n'] = vector<double>(lpcc, lpcc + (int)lpcc_order);
result['n'] = vector<double>(lpc+20, lpc + 40);
break;
case 'o':
if (!calcFeat["spectrum"]){
double temp1[4] = {(double)samplerate/windowLength, XTRACT_MAGNITUDE_SPECTRUM, 0.0f, 0.0f};
xtract_init_fft(windowLength, XTRACT_SPECTRUM);
xtract[XTRACT_SPECTRUM](wavData + windowStart, windowLength, &temp1[0], &spectrum[0]);
xtract_free_fft();
calcFeat["spectrum"] = true;
}
mfccBank.n_filters = 40;
mfccBank.filters = (double **)malloc(40 * sizeof(double *));
for(int i = 0; i < 40; i++)
mfccBank.filters[i] = (double *)malloc(windowLength * sizeof(double));
xtract_init_mfcc(windowLength/2, samplerate/2, XTRACT_EQUAL_GAIN, 20, samplerate/2, mfccBank.n_filters, mfccBank.filters);
xtract[XTRACT_MFCC](spectrum, windowLength/2, &mfccBank, mfcc);
for(int i = 0; i < 40; ++i)
free(mfccBank.filters[i]);
free(mfccBank.filters);
result['o'] = vector<double>(mfcc, mfcc + 40);
break;
case 'p':
if (!calcFeat["bark"]){
if (!calcFeat["spectrum"]){
double temp1[4] = {(double)samplerate/windowLength, XTRACT_MAGNITUDE_SPECTRUM, 0.0f, 0.0f};
xtract_init_fft(windowLength, XTRACT_SPECTRUM);
xtract[XTRACT_SPECTRUM](wavData + windowStart, windowLength, &temp1[0], &spectrum[0]);
xtract_free_fft();
calcFeat["spectrum"] = true;
}
xtract_init_bark(windowLength/2, samplerate, bark);
xtract[XTRACT_BARK_COEFFICIENTS](spectrum, windowLength/2, bark, barkC);
calcFeat["bark"] = true;
}
result['p'] = vector<double>(barkC, barkC + 24);
break;
}
}
return result;
}