static void xtract_tilde_free(t_xtract_tilde *x) { if(x->argv != NULL && x->memory.argv) freebytes(x->argv, x->memory.argv); if(x->window != NULL) xtract_free_window(x->window); }
double* extractall(double* wavetable, long numFrames, double samplerate){ long size = 38+5*BLOCKSIZE+MFCC_FREQ_BANDS; double *FVec = (double*) malloc(size*sizeof(double)); long count=0; long i,n,j,k; int rv = XTRACT_SUCCESS; xtract_mel_filter mel_filters; /* get the F0 */ xtract[XTRACT_WAVELET_F0](wavetable, BLOCKSIZE, &samplerate, &f0); FVec[count++] = f0; //* get the F0 as a MIDI note xtract[XTRACT_MIDICENT](NULL, 0, &f0, &midicents); FVec[count++] = midicents; //* get the mean of the input xtract[XTRACT_MEAN](wavetable, BLOCKSIZE, NULL, &mean); FVec[count++] = mean; //MY-VARIANCE xtract[XTRACT_VARIANCE](wavetable, BLOCKSIZE, &mean, &variance); FVec[count++] = variance; //MY-STANDARD DEVIATION xtract[XTRACT_STANDARD_DEVIATION](wavetable, BLOCKSIZE, &variance, &stdDeviation); FVec[count++] = stdDeviation; //MY-AVERAGE DEVIATION xtract[XTRACT_AVERAGE_DEVIATION](wavetable, BLOCKSIZE, &mean, &avgDeviation); FVec[count++] = avgDeviation; //MY-SKEWNESS argd[0] = mean; argd[1] = stdDeviation; xtract[XTRACT_SKEWNESS](wavetable, BLOCKSIZE, argd, &skewness); FVec[count++] = skewness; //MY-KURTOSIS xtract[XTRACT_KURTOSIS](wavetable, BLOCKSIZE, argd, &kurtosis); FVec[count++] = kurtosis; //MY-ZERO CROSSING RATE xtract[XTRACT_ZCR](wavetable, BLOCKSIZE, NULL, &zcr); FVec[count++] = zcr; //MY-RMS AMPLITUDE xtract[XTRACT_RMS_AMPLITUDE](wavetable, BLOCKSIZE, NULL, &rmsAmplitude); FVec[count++] = rmsAmplitude; //MY-HIGHEST VALUE xtract[XTRACT_HIGHEST_VALUE](wavetable, BLOCKSIZE, NULL, &highestValue); FVec[count++] = highestValue; //MY-SUM xtract[XTRACT_SUM](wavetable, BLOCKSIZE, NULL, &sum); FVec[count++] = sum; //MY-CREST argd[0] = mean; argd[1] = highestValue; xtract[XTRACT_CREST](wavetable, BLOCKSIZE, argd, &crest); FVec[count++] = crest; //* get the lowest value in the input argd[0] = -.5; rv = xtract[XTRACT_LOWEST_VALUE](wavetable, BLOCKSIZE, argd, &lowest); FVec[count++] = lowest; //MY-AMDF xtract[XTRACT_AMDF](wavetable, BLOCKSIZE, NULL, amdf); for(k=0;k<BLOCKSIZE;k++) FVec[i++] = amdf[k]; //MY-ASDF xtract[XTRACT_ASDF](wavetable, BLOCKSIZE, NULL, asdf); for(k=0;k<BLOCKSIZE;k++) FVec[i++] = asdf[k]; //MY-DCT xtract[XTRACT_DCT](wavetable, BLOCKSIZE, NULL, dct); for(k=0;k<BLOCKSIZE;k++) FVec[i++] = dct[k]; //* create the window function window = xtract_init_window(BLOCKSIZE, XTRACT_HANN); xtract_windowed(wavetable, BLOCKSIZE, window, windowed); xtract_free_window(window); //* get the spectrum argd[0] = SAMPLERATE / (double)BLOCKSIZE; argd[1] = XTRACT_MAGNITUDE_SPECTRUM; argd[2] = 0.f; //* DC component - we expect this to zero for square wave argd[3] = 0.f; //* No Normalisation xtract_init_fft(BLOCKSIZE, XTRACT_SPECTRUM); xtract[XTRACT_SPECTRUM](windowed, BLOCKSIZE, &argd[0], spectrum); xtract_free_fft(); //MY_BARK // xtract_init_bark(BLOCKSIZE,samplerate,barkCoeff); // xtract[XTRACT_BARK_COEFFICIENTS](spectrum,BLOCKSIZE,barkCoeff,bark); //MY-SPECTRAL MEAN xtract[XTRACT_SPECTRAL_MEAN](spectrum, BLOCKSIZE, NULL, &specMean); FVec[count++] = specMean; //MY-SPECTRAL VARIANCE xtract[XTRACT_SPECTRAL_VARIANCE](spectrum, BLOCKSIZE, &specMean, &specVariance); FVec[count++] = specVariance; //MY-SPECTRAL STANDARD DEVIATION xtract[XTRACT_SPECTRAL_STANDARD_DEVIATION](spectrum, BLOCKSIZE, &specMean, &specStdDeviation); FVec[count++] = specStdDeviation; //xtract[XTRACT_SPECTRAL_AVERAGE_DEVIATION](spectrum, BLOCKSIZE, &specMean, &specAvgDeviation); //FVec[count++] = specAvgDeviation; //MY-SPECTRAL SKEWNESS argd[0] = specMean; argd[1] = specStdDeviation; xtract[XTRACT_SPECTRAL_SKEWNESS](spectrum, BLOCKSIZE, argd, &specSkewness); FVec[count++] = specSkewness; //MY-SPECTRAL KURTOSIS xtract[XTRACT_SPECTRAL_KURTOSIS](spectrum, BLOCKSIZE, argd, &specKurtosis); FVec[count++] = specKurtosis; xtract[XTRACT_SPECTRAL_CENTROID](spectrum, BLOCKSIZE, NULL, ¢roid); FVec[count++] = centroid; //MY-POWER xtract[XTRACT_POWER](spectrum, BLOCKSIZE, NULL, &power); FVec[count++] = power; //MY-SHARPNESS xtract[XTRACT_SHARPNESS](spectrum, BLOCKSIZE, NULL, &sharpness); FVec[count++] = sharpness; //MY-SPECTRAL SLOPE xtract[XTRACT_SPECTRAL_SLOPE](spectrum, BLOCKSIZE/2, NULL, &specSlope); FVec[count++] = specSlope; //MY-HPS xtract[XTRACT_HPS](spectrum, BLOCKSIZE, NULL, &hps); FVec[count++] = hps; //MY-FLATNESS xtract[XTRACT_FLATNESS](spectrum, BLOCKSIZE, NULL, &flatness); FVec[count++] = flatness; //MY-TONALITY xtract[XTRACT_TONALITY](NULL, NULL, &flatness, &tonality); FVec[count++] = tonality; argd[0] = SAMPLERATE / (double)BLOCKSIZE; argd[1] = 10.0; //* peak threshold as % of maximum peak xtract[XTRACT_PEAK_SPECTRUM](spectrum, BLOCKSIZE / 2, argd, peaks); argd[0] = f0; argd[1] = .3; //* harmonic threshold xtract[XTRACT_HARMONIC_SPECTRUM](peaks, BLOCKSIZE, argd, harmonics); //MY-ODD EVEN RATIO xtract[XTRACT_ODD_EVEN_RATIO](harmonics, BLOCKSIZE, NULL, &oddEvenRatio); FVec[count++] = oddEvenRatio; //MY-TRISTIMULUS-1 xtract[XTRACT_TRISTIMULUS_1](harmonics, BLOCKSIZE, NULL, &tristimulus1); FVec[count++] = tristimulus1; //MY-TRISTIMULUS-2 xtract[XTRACT_TRISTIMULUS_2](harmonics, BLOCKSIZE, NULL, &tristimulus2); FVec[count++] = tristimulus2; //MY-TRISTIMULUS-2 xtract[XTRACT_TRISTIMULUS_3](harmonics, BLOCKSIZE, NULL, &tristimulus3); FVec[count++] = tristimulus3; //MY-NOISINESS xtract[XTRACT_NOISINESS](NULL, NULL, harmonics, &noisiness); FVec[count++] = noisiness; //MY-SPECTRAL INHARMONICITY // xtract[XTRACT_SPECTRAL_INHARMONICITY](peaks, BLOCKSIZE, &f0, &specInharmonicity); // FVec[count++] = specInharmonicity; //MY-SPERAD // xtract[XTRACT_SPREAD](spectrum, BLOCKSIZE, NULL, &spread); // FVec[count++] = spread; //MY-AUTOCORRELATION and AUTOCORRELATION FFT // xtract[XTRACT_AUTOCORRELATION](wavetable, BLOCKSIZE, NULL, &autocorrelation); // FVec[count++] = autocorrelation; // printf("\nAutocorrelation : %f\n", autocorrelation); //xtract[XTRACT_AUTOCORRELATION_FFT](wavetable, BLOCKSIZE, NULL, &autocorrelationFFT); //FVec[count++] = autocorrelationFFT; for(k=0;k<BLOCKSIZE;k++) FVec[i++] = spectrum[k]; //* compute the MFCCs mel_filters.n_filters = MFCC_FREQ_BANDS; mel_filters.filters = (double **)malloc(MFCC_FREQ_BANDS * sizeof(double *)); for(n = 0; n < MFCC_FREQ_BANDS; ++n) { mel_filters.filters[n] = (double *)malloc(BLOCKSIZE * sizeof(double)); } xtract_init_mfcc(BLOCKSIZE >> 1, SAMPLERATE >> 1, XTRACT_EQUAL_GAIN, MFCC_FREQ_MIN, MFCC_FREQ_MAX, mel_filters.n_filters, mel_filters.filters); xtract_mfcc(spectrum, BLOCKSIZE >> 1, &mel_filters, mfccs); for(k=0;k<MFCC_FREQ_BANDS;k++) FVec[i++] = mfccs[k]; //* compute Spectral Flux argd[0] = SAMPLERATE / (BLOCKSIZE/2); argd[1] = XTRACT_MAGNITUDE_SPECTRUM; argd[2] = 0.f; //* DC component argd[3] = 0.f; //* No Normalisation xtract_init_fft(BLOCKSIZE/2, XTRACT_SPECTRUM); xtract_features_from_subframes(wavetable, BLOCKSIZE, XTRACT_SPECTRUM, argd, subframes); xtract_difference_vector(subframes, BLOCKSIZE, NULL, difference); argd[0] = 1.0; //* norm order argd[1] = XTRACT_POSITIVE_SLOPE; //* positive slope xtract_flux(difference, BLOCKSIZE/2, argd, &flux); FVec[i++] = flux; for(k=0;k<BLOCKSIZE;k++) FVec[i++] = peaks[k]; /* printf("\nF0: %f\n", f0); printf("\nMIDI cents: %f\n", midicents); printf("\nInput mean = %.5f\t%.5f\n", mean); //* We expect this to be zero for a square wave printf("\nVariance = %f\n",variance); printf("\nStandard Deviation = %f\n",stdDeviation); printf("\nAverage Deviation = %f\n",avgDeviation); printf("\nSkewness = %f\n",skewness); printf("\nKurtosis = %f\n",kurtosis); printf("\nZero Crossing Rate = %f\n",zcr); printf("\nRMS Amplitude = %f\n",rmsAmplitude); printf("\nHighest Value = %f\n",highestValue); printf("\nSum = %f\n", sum); printf("\nCrest = %f\n", crest); printf("\nLowest value = %.6f\n\n", lowest); for(n=0;n<BLOCKSIZE;n+=50) printf("\nAMDF[%d]: %f",n,amdf[n]); for(n=0;n<BLOCKSIZE;n+=50) printf("\nASDF[%d]: %f",n,asdf[n]); for(n=0;n<BLOCKSIZE;n+=50) printf("\nDCT[%d]: %f",n,dct[n]); // for(n=0;n<BLOCKSIZE;n+=1000) // printf("\nBARK[%d]: %f",n,bark[n]); printf("\nSpectral Mean: %f\n", specMean); printf("\nSpectral Variance: %f\n", specVariance); printf("\nSpectral Standard Deviation: %f\n", specStdDeviation); //printf("\nSpectral Average Deviation: %f\n", specAvgDeviation); printf("\nSpectral Skewness: %f\n", specSkewness); printf("\nSpectral Kurtosis: %f\n", specKurtosis); printf("\nSpectral Centroid: %f\n", centroid); printf("\nPower = %f\n",power); printf("\nSharpness = %f\n",sharpness); printf("\nSpectral Slope = %f\n",specSlope); printf("\nHPS = %f\n",hps); printf("\nFlatness: %f\n", flatness); printf("\nTonality: %f\n", tonality); printf("\nOdd Even Ratio : %f\n", oddEvenRatio); printf("\nTristimulus-1 : %f\n", tristimulus1); printf("\nTristimulus-2 : %f\n", tristimulus2); printf("\nTristimulus-3 : %f\n", tristimulus3); printf("\nNoisiness : %f\n", noisiness); // printf("\nSpectral Inharmonicity : %f\n", specInharmonicity); // printf("\nSpread : %f\n", spread); // printf("\nAutocorrelation fft : %f\n",autocorrelationFFT); printf("\nSpectrum:\n"); for(n = 0; n < (BLOCKSIZE >> 1); n+=1000) { printf("freq: %.1f\tamp: %.6f", spectrum[n + (BLOCKSIZE >> 1)], spectrum[n]); if (peaks[n + (BLOCKSIZE >> 1)] != 0.f) { printf("\tpeak:: freq: %.1f\tamp: %.6f\n", peaks[n + (BLOCKSIZE >> 1)], peaks[n]); } else { printf("\n"); } } printf("\n"); printf("MFCCs:\n"); for(n = 0; n < MFCC_FREQ_BANDS; ++n) { printf("band: %d\t", n); if(n < 10) { printf("\t"); } printf("coeff: %f\n", mfccs[n]); } printf("Flux: %f\n", flux);*/ //} // cleanup for(n = 0; n < MFCC_FREQ_BANDS; ++n) { free(mel_filters.filters[n]); } free(mel_filters.filters); return FVec; }