python wav文件过零率并plot出来

最新推荐文章于 2021-06-07 15:43:06 发布

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最新推荐文章于 2021-06-07 15:43:06 发布

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分类专栏： python 音频处理工具包

本文链接：https://blog.youkuaiyun.com/Barry_J/article/details/84176872

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本文介绍如何使用Python处理WAV音频文件，计算其过零率，并通过matplotlib进行可视化展示。过零率是音频信号处理中的一个重要指标，用于描述信号幅度变化的频繁程度。通过这段内容，读者将学习到Python音频处理的基础知识和数据可视化的技巧。

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import math
import wave
import numpy as np
import pylab as pl

def ZeroCR(waveData,frameSize,overLap):
    wlen = len(waveData)
    step = frameSize - overLap
    frameNum = math.ceil(wlen/step)
    zcr = np.zeros((frameNum,1))
    for i in range(frameNum):
        curFrame = waveData[np.arange(i*step,min(i*step+frameSize,wlen))]
        #To avoid DC bias, usually we need to perform mean subtraction on each frame
        curFrame = curFrame - np.mean(curFrame) # zero-justified
        zcr[i] = sum(curFrame[0:-1]*curFrame[1::]<=0)
        # print(zcr[i])
    return zcr


fw = wave.open(r'D:\Workspace\dejavu\preprocessing\tool\aim call wav file\guanji      4.wav','rb')
params = fw.getparams()
print(params)
nchannels, sampwidth, framerate, nframes = params[:4]
str_data = fw.readframes(nframes)
wave_data = np.fromstring(str_data, dtype=np.int16)
wave_data = wave_data*1.0/(max(abs(wave_