def print_waveform(filename):
f = audioprocessor.get_wav_file(filename)
data = f.read_frames(f.nframes)
plt.subplot(2, 1, 1)
plt.plot(range(len(data)), map(lambda x: x[0], data), 'k-')
plt.xlabel('Left speaker')
plt.title('Wave form of M23 (AkPnCGdD)')
plt.subplot(2, 1, 2)
plt.plot(range(len(data)), map(lambda x: x[1], data), 'r-')
plt.xlabel('Right speaker')
plt.show()
def print_mapfreq(filename, title):
f = audioprocessor.get_wav_file(filename)
nframes = f.nframes
data = f.read_frames(nframes)
left = map(lambda x: x[0], data)
right = map(lambda x: x[1], data)
N = 1024
hopsamp = 80
X = util.stft(left, N, hopsamp)
pylab.figure()
pylab.imshow(scipy.absolute(X.T), origin='lower', aspect='auto', interpolation='nearest')
pylab.xlabel('Time')
pylab.ylabel('Frequency')
pylab.title(title)
pylab.show()
def print_singlefreq(filename, title):
f = audioprocessor.get_wav_file(filename)
nframes = f.nframes
data = f.read_frames(nframes)
left = map(lambda x: x[0], data)
right = map(lambda x: x[1], data)
N = 1024
hopsamp = 80
X = util.stft(left, N, hopsamp)
t = X[300].T
plt.plot(range(len(t)), scipy.absolute(t))
plt.xlabel('frequency')
plt.ylabel('amplitude')
plt.title(title)
plt.show()
