Last active
November 26, 2020 12:59
-
-
Save xvwang/5b441d1f9360b8ec067a24a04bbc904c to your computer and use it in GitHub Desktop.
Record IR Signal from IR audio receiver, and record as wav file for sending through IR audio transmitter
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from array import array | |
from struct import pack | |
import numpy as np | |
import wave | |
import pyaudio | |
import codeset | |
import subprocess | |
import signal, sys | |
THRESHOLD = 1500 | |
CHUNK_SIZE = 1024 | |
FORMAT = pyaudio.paInt16 | |
RATE = 44100 | |
def record(): | |
""" | |
Record signal from the microphone and | |
return the data as an array of 1/0 (according on THRESHOLD). | |
""" | |
p = pyaudio.PyAudio() | |
""" take data as MONO, because data set is smaller """ | |
stream = p.open(format=FORMAT, channels=1, rate=RATE, | |
input=True, output=True, | |
frames_per_buffer=CHUNK_SIZE) | |
num_silent = 0 | |
rcv_started = False | |
r = array('h') | |
while 1: | |
rcv_data = array('h', stream.read(CHUNK_SIZE)) | |
""" change it to 1 and 0 accroding to THRESHOLD """ | |
rcv_data = [ (x>THRESHOLD) for x in rcv_data ] | |
silent = (sum(rcv_data) < 10 ) | |
if silent and rcv_started: | |
num_silent += 1 | |
elif not silent and not rcv_started: | |
rcv_started = True | |
if rcv_started : | |
r.extend(rcv_data) | |
if rcv_started and num_silent > 10: | |
break | |
sample_width = p.get_sample_size(FORMAT) | |
stream.stop_stream() | |
stream.close() | |
p.terminate() | |
return sample_width, r | |
def sigterm_handler(_signo, _stack_frame): | |
sys.exit(0) | |
def main() : | |
while True: | |
waveFileName = raw_input("Enter button name (q to quit) : ") | |
if waveFileName is 'q' : | |
break | |
sample_width, data = record() | |
duration = len(data)/float(RATE) | |
sineWav = (np.sin(2*np.pi*np.arange(RATE*duration)*19000/RATE)).astype(np.float32) | |
track1 = sineWav * data * 30000.0 | |
track2 = track1 * -1 | |
wf = wave.open(waveFileName+".wav", 'wb') | |
wf.setnchannels(2) | |
wf.setsampwidth(sample_width) | |
wf.setframerate(RATE) | |
for s, t in zip(track1, track2): | |
wf.writeframes(pack('h', int(s))) | |
wf.writeframes(pack('h', int(t))) | |
wf.close() | |
if __name__ == '__main__': | |
main() | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment