I have to read the data from just one channel in a stereo wave file in Python. For this I tried it with scipy.io:
import scipy.io.wavfile as wf
import numpy
def read(path):
data = wf.read(path)
for frame in data[1]:
data = numpy.append(data, frame[0])
return data
But this code is very slow, especially if I have to work with longer files. So does anybody know a faster way to do this? I thought about the standard wave module by using wave.readframes(), but how are the frames stored there?
scipy.io.wavfile.read
returns the tuple (rate, data)
. If the file is stereo, data
is a numpy array with shape (nsamples, 2)
. To get a specific channel, use a slice of data
. For example,
rate, data = wavfile.read(path)
# data0 is the data from channel 0.
data0 = data[:, 0]
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