def main():
# start to listen background with another thread.
start_listen_background()
while not os.path.exists(BG_WAV_PATH):
print('ready for bg wav ...')
time.sleep(1)
# initialize recognizer
recognizer = Recognizer()
recognizer.speaking_duration = 0.1
recognizer.phrase_threshold = 0.1
with Microphone(sample_rate=SAMPLE_RATE) as source:
# listen for 1 second to calibrate the energy threshold for ambient noise levels
recognizer.adjust_for_ambient_noise(source)
print("Calibrated. Say something!")
source = Microphone(sample_rate=SAMPLE_RATE)
with Pool(THREAD_NUM) as pool:
callback_with_model = partial(callback,
model_map=ModelMap(),
pool=pool)
recognizer.listen_in_background(source, callback_with_model,
PHRASE_TIME_LIMIT)
while True:
time.sleep(10)
