Generating wave sound from text file - python-2.7

Question

I have generated sequence of frequency sound from text file using :
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 can be any text file you want)
But its having some noise in between frequency sound how can i remove it and save sequence of all frequncy played in .wave or .mp3 file?
Sorry i am still learning so if i am not clear in asking.
Thanks,
Jay

Answer 1

Biggest problem here is that you open/close audio stream at each frequency.
Instead, keep the stream open and you'll get a lot less "clicks". That doesn't mean you'll get no clicks, probably because processing time is sometimes too long and the stream is interrupted. The best way would be to multithread generation and write to be more reactive, but that's another story...
I also added .wav save capacity. My output filenames. Works very well.
Fixed code (runs with Python 3)
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()