问从文本文件生成波形声音
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Stack Overflow用户

提问于 2016-09-10 12:07:39

回答 1查看 1.8K关注 0票数 0

我已经从文本文件中生成了音频声音序列，使用：

import mmap
import math
import pyaudio

fh = open('/home/jay/Documents/try.txt', 'rb')

m = mmap.mmap(fh.fileno(), 0, access=mmap.ACCESS_READ)
ba = bytearray(m)

#sudo apt-get install python-pyaudio
PyAudio = pyaudio.PyAudio

#See http://en.wikipedia.org/wiki/Bit_rate#Audio
BITRATE = 16000 #number of frames per second/frameset.      

for freq in ba:
#See http://www.phy.mtu.edu/~suits/notefreqs.html
   FREQUENCY = 300 + freq #Hz, waves per second, 261.63=C4-note.
   LENGTH = 1 #seconds to play sound

   NUMBEROFFRAMES = int(BITRATE * LENGTH)
   RESTFRAMES = NUMBEROFFRAMES % BITRATE
   WAVEDATA = ''    

   for x in xrange(NUMBEROFFRAMES):
    WAVEDATA = WAVEDATA+chr(int(math.sin(x/((BITRATE/FREQUENCY)/math.pi))*127+128))    

   #fill remainder of frameset with silence
   for x in xrange(RESTFRAMES): 
    WAVEDATA = WAVEDATA+chr(128)

   p = PyAudio()
   stream = p.open(format = p.get_format_from_width(1), 
                   channels = 1, 
                   rate = BITRATE, 
                   output = True)
   stream.write(WAVEDATA)
   stream.stop_stream()
   stream.close()
   p.terminate()

(try.txt可以是您想要的任何文本文件)

但它有一些噪音在频率之间的声音，我如何删除它，并保存序列的所有频率播放在.wave或.mp3文件？对不起，我还在学习，所以如果我问得不清楚的话。谢谢，杰伊

audio

mmap

wave

pyaudio

python-2.7

回答 1

Stack Overflow用户

回答已采纳

发布于 2016-09-11 16:12:14

这里最大的问题是你在每个频率上打开/关闭音频流。

取而代之的是，保持流的打开状态，你将会得到更少的“点击”。这并不意味着你不会得到点击，可能是因为处理时间有时太长，流被中断。最好的方法是多线程生成和编写，以便更具反应性，但这是另一回事……

我还添加了.wav存储容量。我的输出文件名。效果非常好。

已修复代码(使用Python 3运行)

import mmap
import math
import pyaudio,wave
import array


fh = open('K:\out.txt', 'rb')

m = mmap.mmap(fh.fileno(), 0, access=mmap.ACCESS_READ)
ba = bytearray(m)

#ba = [300,400,500,400,200]
#sudo apt-get install python-pyaudio
PyAudio = pyaudio.PyAudio

#See http://en.wikipedia.org/wiki/Bit_rate#Audio
BITRATE = 16000 #number of frames per second/frameset.

p = PyAudio()
stream = p.open(format = p.get_format_from_width(1),
               channels = 1,
               rate = BITRATE,
               output = True)

wf=wave.open("K:\wavout.wav","wb")
wf.setnchannels(1)
wf.setsampwidth(p.get_sample_size(pyaudio.paInt8))  # byte = 8 bits else trashed
wf.setframerate(BITRATE)


for freq in ba:
#See http://www.phy.mtu.edu/~suits/notefreqs.html
   FREQUENCY = 300 + freq #Hz, waves per second, 261.63=C4-note.
   print('freq '+str(FREQUENCY))
   LENGTH = 1 #seconds to play sound

   NUMBEROFFRAMES = int(BITRATE * LENGTH)
   RESTFRAMES = NUMBEROFFRAMES % BITRATE
   WAVEDATA = list()


   for x in range(NUMBEROFFRAMES):
    v = int(math.sin(x/((BITRATE/FREQUENCY)/math.pi))*127+128)
    WAVEDATA.append(v)

   #fill remainder of frameset with silence
   WAVEDATA+=[128]*RESTFRAMES

   b = array.array('B', WAVEDATA).tostring()

   wf.writeframes(b)
   stream.write(b)

#print data
wf.close()
stream.stop_stream()
stream.close()
p.terminate()