hotword detection

oww_microphone_hotword_detection.py

import time
import pyaudio
import numpy as np
from openwakeword.model import Model

MODEL_PATH = "yah_zuh_juh.tflite"
CHUNK = 1280
RATE = 16000
FORMAT = pyaudio.paInt16
CHANNELS = 1

audio = pyaudio.PyAudio()
mic_stream = audio.open(format=FORMAT, channels=CHANNELS,
                        rate=RATE, input=True, frames_per_buffer=CHUNK)

owwModel = Model(wakeword_models=[MODEL_PATH], inference_framework="tflite")

last_detect_time = 0
cooldown = 1.5  # saniye

print("Dinleniyor...")

while True:
    audio_data = np.frombuffer(mic_stream.read(CHUNK), dtype=np.int16)
    owwModel.predict(audio_data)

    for mdl in owwModel.prediction_buffer.keys():
        score = list(owwModel.prediction_buffer[mdl])[-1]
        if score > 0.5 and (time.time() - last_detect_time > cooldown):
            print(f"Hotword algılandı! ({mdl}) Skor: {score:.2f}")
            last_detect_time = time.time()