Created
February 23, 2015 07:05
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wave file fft
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#!/usr/bin/python | |
import wave | |
import numpy as np | |
import math | |
def dofft(filename, wlen = 16, sz = 44100): | |
wlen = wlen * sz / 1000 | |
print 'wlen:', wlen | |
wr = wave.open(filename, 'r') | |
dfs = [] | |
nframes = wr.getnframes() | |
freq = np.fft.fftfreq(wlen, d=1.0 / sz) | |
da = np.fromstring(wr.readframes(nframes), dtype=np.int16) | |
for offset in range(0, nframes, wlen): | |
nframes -= wlen | |
dfrag = da[offset : offset + wlen] | |
df = np.abs(np.fft.fft(dfrag)) | |
dfs.append(abs(freq[np.argmax(df)])) | |
return dfs | |
ms = np.power(2, 1./12) | |
A = 440.0 | |
q = dofft('dnll16.wav', 10, 44100) | |
print 'length:', len(q) | |
ds = [] | |
for hz in q: | |
if abs(hz) > ms: | |
diff = math.log(hz/A, 2.) * 12 | |
diff = int(round(diff)) | |
ds.append(diff) | |
dl = -1000 | |
for d in ds: | |
if dl != d: | |
print d, | |
dl = d |
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