import audio, time, tf, micro_speech, pyb labels = ['Silence', 'Unknown', 'Yes', 'No'] led_red = pyb.LED(1) led_green = pyb.LED(2) model = tf.load('/model.tflite') speech = micro_speech.MicroSpeech() audio.init(channels=1, frequency=16000, gain=24, highpass=0.9883) # Start audio streaming audio.start_streaming(speech.audio_callback) while (True): # Run micro-speech without a timeout and filter detections by label index. idx = speech.listen(model, timeout=0, threshold = 0.78, filter=[2, 3]) led = led_green if idx == 2 else led_red print(labels[idx]) for i in range(0, 4): led.on(); time.sleep_ms(25) led.off(); time.sleep_ms(25) # Stop streaming audio.stop_streaming()