Created
January 18, 2012 19:50
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import struct | |
import wave | |
import numpy | |
from numpy import * | |
from numpy.fft import fft | |
def main(): | |
w = wave.open('FGI.wav', 'r') | |
data_size = w.getnframes() * w.getnchannels() | |
frame_size = 0.025 # 25ms | |
hop_size = 0.010 # 10ms | |
data = w.readframes(data_size) | |
w.close() | |
data = struct.unpack('{n}h'.format(n=data_size), data) | |
X = stft(data, 44100, frame_size, hop_size) | |
print len(X) | |
derp = X[22000] | |
f = open('testdata.dat', 'w') | |
count = 0 | |
for idx in range(len(derp['fft']) / 2): | |
f.write("%s %s\n" % (count,numpy.abs(derp['fft'][idx]))) | |
count = count + 1 | |
f.close() | |
def stft(x, fs, framesz, hop): | |
framesamp = int(framesz*fs) | |
hopsamp = int(hop*fs) | |
w = numpy.hamming(framesamp) | |
X = [] | |
for i in range(0, len(x) - framesamp, hopsamp): | |
b = numpy.array(w * x[i:i + framesamp]) | |
a = fft(b) | |
c = numpy.fft.fftfreq(len(a)) | |
v = { | |
'fft': numpy.fft.fftshift(a), | |
'freq': numpy.fft.fftshift(c)} | |
X.append(v) | |
return X | |
if __name__ == '__main__': | |
main() |
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