如何使用Python正确解码.wav

Question

I am coding a basic frequency analisys of WAVE audio files, but I have trouble when it comes to convertion from WAVE frames to integer.

Here is the relevant part of my code:

import wave
track = wave.open('/some_path/my_audio.wav', 'r')

byt_depth = track.getsampwidth() #Byte depth of the file in BYTES
frame_rate = track.getframerate()
buf_size = 512

def byt_sum (word):
#convert a string of n bytes into an int in [0;8**n-1]
    return sum( (256**k)*word[k] for k in range(len(word)) )

raw_buf = track.readframes(buf_size)
'''
One frame is a string of n bytes, where n = byt_depth.
For instance, with a 24bits-encoded file, track.readframe(1) could be:
b'\xff\xfe\xfe'.
raw_buf[n] returns an int in [0;255]
'''

sample_buf = [byt_sum(raw_buf[byt_depth*k:byt_depth*(k+1)])
              - 2**(8*byt_depth-1) for k in range(buf_size)]

Problem is: when I plot sample_buf for a single sine signal, I get an alternative, wrecked sine signal . I can't figure out why the signal overlaps udpside-down.

Any idea?

PS: Since I'm French, my English is quite hesitating. Feel free to edit if there are ugly mistakes.

Answer 1

It might be because you need to use an unsigned value for representing the 16bit samples. See https://en.wikipedia.org/wiki/Pulse-code_modulation

Try to add 32767 to each sample.

Also you should use the python struct module to decode the buffer.

import struct
buff_size = 512
# 'H' is for unsigned 16 bit integer, try 'h' also
sample_buff = struct.unpack('H'*buf_size, raw_buf)

Answer 2

The easiest way is to use a library that does the decoding for you. There are several Python libraries available, my favorite is the soundfile module:

import soundfile as sf
signal, samplerate = sf.read('/some_path/my_audio.wav')