python声音文件隐藏文本信息

#_*_coding:utf-8_*_
#声音文件隐藏文件信息
import wave
import pylab as pl
import numpy as np
#编码
print (u'正在将文件编码进声音')
#打开文档
fo=wave.open(r"刘惜君+-+光.wav","wb")
file_object=open('photo.py')
try:
    all_the_text=file_object.read()
finally:
    file_object.close()
wdata=map(ord,all_the_text)#map()函数接收一个函数ORD和一个list数据all_the_text,并将函数依次作用在list中，返回一个新的list
                           #ord()函数是chr()函数，返回对应的ASCLL数值
wdata=np.array(wdata)
lwdata=len(wdata)#数据长度
#设置波形参数和采样率
framerate=44100
#声道数
nchannels=2
#每位长度
sampwidth=2
#长度
nframes=framerate*4
#振幅
base_amplitude=200
max_amplitude=128*base_amplitude
#每个字符间隔
interval=(nframes-10)/lwdata
#每周期样本数
wave_data=np.zeros((nframes),dtype=np.short)
count=0
#写噪声数据和隐藏文件字符
myrand=np.random.rand(nframes)
for curpos in range(nframes):
    if curpos % interval==0 and count64*base_amplitude
        count+=1
    elif curpos%60==0:
        possamp=int(myrand[curpos]*max_amplitude-max_amplitude/2)
    else:
        possamp=0
    wave_data[curpos]=possamp
#写波形参数
#print ('save new wav files...')
str_data=wave_data.tostring()
fo.setnchannels(nchannels)
fo.setframerate(framerate)
fo.setsampwidth(sampwidth)
fo.setnframes(nframes)
fo.writeframes(str_data)
fo.close()
#绘制波形
wave_data.shape=-1,2
wave_data=wave_data.T
time=np.arange(0,nframes/2)
pl.subplot(211)
pl.plot(time,wave_data[0],c="r")
pl.subplot(212)
pl.plot(time,wave_data[1],c="g")
pl.xlabel("time(seconds)")
#解码
new_wdata=[]
#print (u'正在解码')
fi=wave.open(r"刘惜君+-+光.wav","rb")
fi_params=fi.getparams()
fi_nframes=fi_params[3]
fi_str_data=fi.readframes(fi_nframes)
fi_wave_data=np.fromstring(fi_str_data,dtype=np.short)
count=0
for curpos in range(0,nframes):
    if curpos % interval==0 and count64*base_amplitude)/base_amplitude
        new_wdata.append(possamp)
        count+=1
my_the_text="".join(map(chr,new_wdata))
file_object=open('mytext.txt','w')
file_object.write(my_the_text)
file_object.close()
pl.show()