步骤 1导入相关模块
代码如下：
import wave as we
import matplotlib.pyplot as plt
import numpy as np
from scipy.io import wavfile
import matplotlib.pyplot as plt
from matplotlib.backend_bases import RendererBase
from scipy import signal
from scipy.io import wavfile
import os
from scipy.fftpack import fft
import warnings
warnings.filterwarnings("ignore")
步骤 2查看wav文件基本属性
需要先下载数据（https://data-certification.obs.cn-east-2.myhuaweicloud.com/CHS/HCIP-AI%20EI%20Developer/V2.1/speech.rar实验3用的也是这里的数据），解压后找到“实验1-语音预处理”中的data文件夹，放在当前工作目录下。
然后编写如下代码：
filename = 'data/thchs30/train/A2_0.wav '

输出信息（声道，采样宽度，帧速率，帧数，唯一标识，无损）

WAVE = we.open(filename)

for item in enumerate(WAVE.getparams()):
print (item)
a = WAVE.getparams().nframes # 帧总数
print(a)
f = WAVE.getparams().framerate # 采样频率
print("采样频率：",f)
sample_time = 1/f # 采样点的时间间隔
time = a/f # 声音信号的长度
sample_frequency, audio_sequence = wavfile.read(filename)
print (audio_sequence,len(audio_sequence )) # 声音信号每一帧的“大小”
x_seq = np.arange(0,time,sample_time)
print(x_seq,len(x_seq))

输出结果：
(0, 1)
(1, 2)
(2, 16000)
(3, 157000)
(4, 'NONE')
(5, 'not compressed')
157000
采样频率： 16000
[-296 -424 -392 ... -394 -379 -390] 157000
[0.0000000e+00 6.2500000e-05 1.2500000e-04 ... 9.8123125e+00 9.8123750e+00
9.8124375e+00] 157000