ref: bcf47ea4a19444e2af92cfd25994e169a5b80a63
dir: /python/demos/demo_simple_spectral_weighting.py/
#! /usr/bin/env python import sys from aubio import source, sink, pvoc from numpy import arange, exp, hstack, zeros, cos from math import pi def gauss(size): return exp(- 1.0 / (size * size) * pow(2.0* arange(size) - 1. *size, 2.)); def hanningz(size): return 0.5 * (1. - cos(2.*pi*arange(size) / size)) if __name__ == '__main__': if len(sys.argv) < 2: print 'usage: %s <inputfile> <outputfile>' % sys.argv[0] sys.exit(1) samplerate = 0 if len(sys.argv) > 3: samplerate = int(sys.argv[3]) f = source(sys.argv[1], samplerate, 256) samplerate = f.samplerate g = sink(sys.argv[2], samplerate) win_s = 512 # fft size hop_s = win_s / 2 # hop size pv = pvoc(win_s, hop_s) # phase vocoder # spectral weighting vector spec_weight = hstack ( [ .8 * hanningz(80)[40:], zeros( 50 ), 1.3 * hanningz(100), zeros (win_s / 2 + 1 - 40 - 50 - 100), ] ) if 0: from pylab import plot, show plot(spec_weight) show() total_frames, read = 0, hop_s while read: # get new samples samples, read = f() # compute spectrum spectrum = pv(samples) # apply weight to spectral amplitudes spectrum.norm *= spec_weight # resynthesise modified samples new_samples = pv.rdo(spectrum) # write to output g(new_samples, read) total_frames += read print "read", total_frames / float(samplerate), "seconds from", f.uri