Question

我看到this question and answer关于在wav文件上使用fft并试图像这样实现它：

import matplotlib.pyplot as plt
from scipy.io import wavfile # get the api
from scipy.fftpack import fft
from pylab import *
import sys

def f(filename):
    fs, data = wavfile.read(filename) # load the data
    a = data.T[0] # this is a two channel soundtrack, I get the first track
    b=[(ele/2**8.)*2-1 for ele in a] # this is 8-bit track, b is now normalized on [-1,1)
    c = fft(b) # create a list of complex number
    d = len(c)/2  # you only need half of the fft list
    plt.plot(abs(c[:(d-1)]),'r')
    savefig(filename+'.png',bbox_inches='tight')

files = sys.argv[1:]
for ele in files:
    f(ele)
quit()

但每当我打电话时：

$ python fft.py 0.0/4515-11057-0058.flac.wav-16000.wav

我收到错误：

Traceback (most recent call last):
  File "fft.py", line 18, in <module>
    f(ele)
   File "fft.py", line 10, in f
    b=[(ele/2**8.)*2-1 for ele in a] # this is 8-bit track, b is now normalized on [-1,1)
TypeError: 'numpy.int16' object is not iterable

如何创建一个脚本，为参数列表中的每个文件生成频率分布？

Answer 1

您的错误消息指出您正在尝试迭代整数（a）。通过

定义a时

a = data.T[0]

你抓住data.T的第一个值。由于您的数据文件是单通道，因此您将获取第一个通道的第一个值（整数）。将此更改为

a = data.T

将解决您的问题。

我需要FFT wav文件？

1 个答案: