(fs, x) = wp.wavread(os.path.join(os.path.dirname(os.path.realpath(__file__)), '../../sounds/speech-female.wav'))
w = np.blackman(801)
N = 1024
t = -90
nH = 50
minf0 = 350
maxf0 = 700
f0et = 10
maxhd = 0.2
stocf = 0.5
maxnpeaksTwm = 5
y, yh, ys = hps(x, fs, w, N, t, nH, minf0, maxf0, f0et, maxhd, stocf, maxnpeaksTwm)
print "time taken for computation " + str(time.time()-str_time)
if __name__ == '__main__':
(fs, x) = wp.wavread(os.path.join(os.path.dirname(os.path.realpath(__file__)), '../../sounds/speech-female.wav'))
w = np.blackman(901)
N = 1024
t = -90
nH = 40
minf0 = 100
maxf0 = 400
f0et = 3
maxhd = 0.1
stocf = 0.5
maxnpeaksTwm = 5
y, yh, ys = hps(x, fs, w, N, t, nH, minf0, maxf0, f0et, maxhd, stocf, maxnpeaksTwm)
wp.wavwrite(y,fs,'speech-female-transformation.wav')
import hprModel, hpsModel, hprModelSpectrogramPlot
import smsWavplayer as wp
if __name__ == '__main__':
(fs, x) = wp.wavread(os.path.join(os.path.dirname(os.path.realpath(__file__)), '../sounds/sax-phrase.wav'))
w = np.blackman(801)
N = 1024
t = -90
nH = 50
minf0 = 340
maxf0 = 700
f0et = 7
maxhd = 0.2
maxFreq = 2000
start = 0*fs
end = x.size
maxnpeaksTwm = 5
stocf = .2
y, yh, yr = hprModel.hprModel(x[start:end], fs, w, N, t, nH, minf0, maxf0, f0et, maxhd, maxnpeaksTwm)
y, yh, yst = hpsModel.hpsModel(x[start:end], fs, w, N, t, nH, minf0, maxf0, f0et, maxhd, stocf, maxnpeaksTwm)
# hprModelSpectrogramPlot.hprModelPlot(x[start:end], fs, w, N, t, nH, minf0, maxf0, f0et, maxhd, maxFreq, maxnpeaksTwm)
# wp.play(y, fs)
# wp.play(yh, fs)
# wp.play(yr, fs)
# wp.play(yst, fs)
wp.wavwrite(y,fs,'sax-phrase-total-synthesis.wav')
wp.wavwrite(yh,fs,'sax-phrase-harmonic-component.wav')
wp.wavwrite(yr,fs,'sax-phrase-residual-component.wav')
wp.wavwrite(yst,fs,'sax-phrase-stochastic-component.wav')
import hprModel, hpsModel, hprModelSpectrogramPlot
import smsWavplayer as wp
if __name__ == '__main__':
(fs, x) = wp.wavread(os.path.join(os.path.dirname(os.path.realpath(__file__)), '../sounds/speech-female.wav'))
w = np.blackman(901)
N = 1024
t = -80
nH = 30
minf0 = 100
maxf0 = 400
f0et = 2
maxhd = 0.1
maxFreq = 800
start = 0*fs
end = x.size
maxnpeaksTwm = 5
stocf = .2
y, yh, yr = hprModel.hprModel(x[start:end], fs, w, N, t, nH, minf0, maxf0, f0et, maxhd, maxnpeaksTwm)
y, yh, yst = hpsModel.hpsModel(x[start:end], fs, w, N, t, nH, minf0, maxf0, f0et, maxhd, stocf, maxnpeaksTwm)
# hprModelSpectrogramPlot.hprModelPlot(x[start:end], fs, w, N, t, nH, minf0, maxf0, f0et, maxhd, maxFreq, maxnpeaksTwm)
# wp.play(y, fs)
# wp.play(yh, fs)
# wp.play(yr, fs)
# wp.play(yst, fs)
wp.wavwrite(y,fs,'speech-female-synthesis.wav')
wp.wavwrite(yh,fs,'speech-female-harmonic-component.wav')
wp.wavwrite(yr,fs,'speech-female-residual-component.wav')
wp.wavwrite(yst,fs,'speech-female-stochastic-component.wav')
