ref: 2a14820a54dc6147abcd3c8eabd2eb0eaa5e9755
dir: /python/demos/demo_spectrogram.py/
#! /usr/bin/env python import sys from aubio import pvoc, source from numpy import array, arange, zeros, shape, log10, vstack from pylab import imshow, show, cm, axis, ylabel, xlabel, xticks, yticks def get_spectrogram(filename, samplerate = 0): win_s = 512 # fft window size hop_s = win_s / 2 # hop size fft_s = win_s / 2 + 1 # spectrum bins a = source(filename, samplerate, hop_s) # source file if samplerate == 0: samplerate = a.samplerate pv = pvoc(win_s, hop_s) # phase vocoder specgram = zeros([0, fft_s], dtype='float32') # numpy array to store spectrogram # analysis while True: samples, read = a() # read file specgram = vstack((specgram,pv(samples).norm)) # store new norm vector if read < a.hop_size: break # plotting imshow(log10(specgram.T + .001), origin = 'bottom', aspect = 'auto', cmap=cm.gray_r) axis([0, len(specgram), 0, len(specgram[0])]) # show axes in Hz and seconds time_step = hop_s / float(samplerate) total_time = len(specgram) * time_step print "total time: %0.2fs" % total_time, print ", samplerate: %.2fkHz" % (samplerate / 1000.) n_xticks = 10 n_yticks = 10 def get_rounded_ticks( top_pos, step, n_ticks ): top_label = top_pos * step # get the first label ticks_first_label = top_pos * step / n_ticks # round to the closest .1 ticks_first_label = round ( ticks_first_label * 10. ) / 10. # compute all labels from the first rounded one ticks_labels = [ ticks_first_label * n for n in range(n_ticks) ] + [ top_label ] # get the corresponding positions ticks_positions = [ ticks_labels[n] / step for n in range(n_ticks) ] + [ top_pos ] # convert to string ticks_labels = [ "%.1f" % x for x in ticks_labels ] # return position, label tuple to use with x/yticks return ticks_positions, ticks_labels # apply to the axis xticks( *get_rounded_ticks ( len(specgram), time_step, n_xticks ) ) yticks( *get_rounded_ticks ( len(specgram[0]), (samplerate / 2. / 1000.) / len(specgram[0]), n_yticks ) ) ylabel('Frequency (kHz)') xlabel('Time (s)') if __name__ == '__main__': if len(sys.argv) < 2: print "Usage: %s <filename>" % sys.argv[0] else: for soundfile in sys.argv[1:]: get_spectrogram(soundfile) # display graph show()