in TSA-demo/TSA_voice_assistant/waver.py [0:0]
def wavmaker(stream):
frames = []
recording = array('h')
for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
sch = stream.read(CHUNK)
data = sch
frames.append(data)
datab = array('h', sch)
if byteorder == 'big':
datab.byteswap()
recording.extend(datab)
print("* done recording")
stream.stop_stream()
stream.close()
p.terminate()
wf = wave.open(WAVE_OUTPUT_FILENAME, 'wb')
wf.setnchannels(CHANNELS)
wf.setsampwidth(p.get_sample_size(FORMAT))
wf.setframerate(RATE)
wf.writeframes(b''.join(frames))
wf.close()
os.system('ffmpeg -i output.wav -ar 16000 -ac 1 trackb.wav -y')
#print(recording)
return recording