Adolfo Reyna
199f762616
- PipeWire/pw-record backend (no PortAudio needed) - tested mic live - VAD: Energy (immediate) + Silero (torch CPU) switchable - Wakeword: openWakeWord TFLite hey_jarvis 0.4 - STT: faster-whisper base int8 CPU - model loads OK on i3 - SpeakerID: ECAPA embeddings + fallback stats, enrollment store - Vision: OpenCV Haar + face_recognition + webcam cam0 640x480 verified - LLM: ollama/qwen2.5:3b, gemini_cli, hermes_api, echo strategies - TTS: Piper + espeak + echo fallbacks - Core pipeline: IDLE -> WAKE -> RECORDING -> STT -> SpeakerID/FaceID fusion -> LLM -> TTS -> followup window - Config via jarvis.yaml, soul.md persona - CLI tools: run, devices, enroll-speaker, enroll-face, test-vad, test-mic - Systemd user service ready - Tested on iMac 2010 i3 550 15GB Ubuntu 26.04 CPU-only
30 lines
788 B
Python
30 lines
788 B
Python
"""Test wakeword detection without full pipeline"""
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from jarvis.audio.capture import AudioCapture
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from jarvis.audio.wakeword import WakeWordDetector
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from jarvis.audio.vad import create_vad
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from jarvis.config import load_config
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import time
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cfg = load_config(None)
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vad = create_vad(cfg)
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ww = WakeWordDetector(models=cfg.get('wakeword',{}).get('models',['hey_jarvis']), threshold=0.45)
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cap = AudioCapture()
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cap.start()
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print("Say 'Hey Jarvis'...")
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try:
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while True:
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chunk = cap.read(timeout=0.1)
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if chunk is None:
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continue
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# Optional VAD gate
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if not vad.is_speech(chunk):
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continue
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det = ww.detect(chunk)
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if det:
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print(f"Wake detected: {det}")
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except KeyboardInterrupt:
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pass
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finally:
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cap.stop()
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