4 from aubio import fvec, source, pvoc, filterbank
5 from numpy import vstack, zeros
8 hop_s = win_s / 4 # hop size
11 print "Usage: %s <filename> [samplerate]" % sys.argv[0]
14 filename = sys.argv[1]
17 if len( sys.argv ) > 2: samplerate = int(sys.argv[2])
19 s = source(filename, samplerate, hop_s)
20 samplerate = s.samplerate
22 pv = pvoc(win_s, hop_s)
24 f = filterbank(40, win_s)
25 f.set_mel_coeffs_slaney(samplerate)
27 energies = zeros((40,))
35 fftgrain = pv(samples)
36 new_energies = f(fftgrain)
37 print '%f' % (total_frames / float(samplerate) ),
38 print ' '.join(['%f' % b for b in new_energies])
39 energies = vstack( [energies, new_energies] )
41 if read < hop_s: break
44 print "done computing, now plotting"
45 import matplotlib.pyplot as plt
46 from demo_waveform_plot import get_waveform_plot
47 from demo_waveform_plot import set_xlabels_sample2time
49 plt.rc('lines',linewidth='.8')
50 wave = plt.axes([0.1, 0.75, 0.8, 0.19])
51 get_waveform_plot(filename, samplerate, block_size = hop_s, ax = wave )
52 wave.yaxis.set_visible(False)
53 wave.xaxis.set_visible(False)
55 n_plots = len(energies.T)
56 all_desc_times = [ x * hop_s for x in range(len(energies)) ]
57 for i, band in enumerate(energies.T):
58 ax = plt.axes ( [0.1, 0.75 - ((i+1) * 0.65 / n_plots), 0.8, 0.65 / n_plots], sharex = wave )
59 ax.plot(all_desc_times, band, '-', label = 'band %d' % i)
60 #ax.set_ylabel(method, rotation = 0)
61 ax.xaxis.set_visible(False)
62 ax.yaxis.set_visible(False)
63 ax.axis(xmax = all_desc_times[-1], xmin = all_desc_times[0])
64 ax.annotate('band %d' % i, xy=(-10, 10), xycoords='axes points',
65 horizontalalignment='right', verticalalignment='bottom',
67 set_xlabels_sample2time( ax, all_desc_times[-1], samplerate)
68 #plt.ylabel('spectral descriptor value')
69 ax.xaxis.set_visible(True)