I have this code:
import numpy as np
import scipy.io.wavfile
import math
rate, data = scipy.io.wavfile.read('xenencounter_23.wav')
data2 = []
for i in range(len(data)):
data2.append([int(round(math.sin(data[i][0])*3000)), int(round(math.sin(data[i][1])*3000))])
data2 = np.asarray(data2)
print data2
scipy.io.wavfile.write('xenencounter_23sin3.wav',rate,data2)
This prints (truncated):
[[-2524 2728]
[ -423 -2270]
[ 2270 423]
...,
[-2524 0]
[ 2524 -2728]
[-2270 838]]
The wav file opens and plays in Windows Media Player, so at least its the proper format. However, when opening it with Audacity and looking at the individual samples, they're all 0, and concordantly the file plays no sound at all.
What I don't understand is how that numpy array listed above becomes all 0's. It should be below the maximum value for a sample (or above, if it's negative).
I found that scipy.io.wavfile.write() writes in 16-bit integer, which explains the larger file sizes when trying to use a 32-bit integer (the default) instead. While I couldn't find a way to change this in wavfile.write, I did find that by changing:
data2 = np.asarray(data2)
to
data2 = np.asarray(data2, dtype=np.int16)
I could write a working file.