#!/usr/bin/env python
# -*- coding: utf-8 -*-
#http://blog.csdn.net/myhaspl
#code:myhaspl@qq.com
import wave
import pylab as pl
import numpy as np print 'http://blog.csdn.net/myhaspl'
print 'myhaspl@qq.com'
print 'working...' print "read wav data...."
# 打开WAV文档
f = wave.open(r"speak.wav", "rb")
fo = wave.open(r"jg.wav", "wb")
fi=wave.open(r"back.wav", "rb") # 读取波形数据
# (nchannels, sampwidth, framerate, nframes, comptype, compname)
params = f.getparams()
nchannels, sampwidth, framerate, nframes = params[:4]
str_data = f.readframes(nframes) fi_params=fi.getparams()
fi_nframes = fi_params[3]
fi_str_data=fi.readframes(fi_nframes) #将波形数据转换为数组，并更改
print "update wav data...."
wave_data = np.fromstring(str_data, dtype=np.short)
fi_wave_data= np.fromstring(fi_str_data, dtype=np.short) #复制并合并声音
new_wave_data=np.hstack((wave_data,wave_data,wave_data,wave_data,wave_data,wave_data,wave_data,wave_data))
temp_wavedata=fi_wave_data[:len(new_wave_data)]
new_wave_data=temp_wavedata*0.5+new_wave_data*0.5 new_wave_data=np.array(new_wave_data)
new_wave_data =new_wave_data.astype(wave_data.dtype)
new_str_data=new_wave_data.tostring()
#写波形数据参数
print "save new wav files...."
fo.setnchannels(nchannels)
fo.setframerate(framerate)
fo.setsampwidth(sampwidth)
fo.writeframes(new_str_data) # 绘制波形
wave_data.shape = -1, 2
wave_data = wave_data.T
time = np.arange(0, nframes) * (1.0 / framerate)
pl.subplot(221)
pl.plot(time, wave_data[0])
pl.subplot(222)
pl.plot(time, wave_data[1], c="g")
pl.xlabel("time (seconds)")
# 绘制波形
new_wave_data.shape = -1, 2
new_wave_data =new_wave_data.T
new_time = np.arange(0, nframes*8) * (1.0 / framerate)
pl.subplot(223)
pl.plot(new_time,new_wave_data[0])
pl.subplot(224)
pl.plot(new_time, new_wave_data[1], c="g")
pl.xlabel("time (seconds)")
pl.show()
本博客所有内容是原创，未经书面许可，严禁任何形式的转载
http://blog.csdn.net/u010255642
python对2个声音进行混合，背景声音是鸟叫流水，说话声音是“机器学习”的语音，混合原理是各取原声音数值的50%相加而成
相关程序及声音资源下载地址：http://download.csdn.net/detail/u010255642/6014649