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
70 lines
1.2 KiB
Plaintext
70 lines
1.2 KiB
Plaintext
audio:
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device: null
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samplerate: 16000
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block_size: 512
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channels: 1
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vad:
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engine: "silero"
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threshold: 0.5
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min_speech_ms: 250
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min_silence_ms: 800
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wakeword:
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enabled: true
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models: ["hey_jarvis"]
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threshold: 0.45
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cooldown_sec: 1.0
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pre_roll_sec: 0.8
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allow_followup_without_wake: true
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stt:
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engine: "faster-whisper"
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model: "base"
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language: "en"
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device: "cpu"
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compute_type: "int8"
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vad_filter: false
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speaker:
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enabled: true
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enrollment_dir: "data/speakers"
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threshold: 0.60
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embedding_model: "speechbrain/spkrec-ecapa-voxceleb"
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vision:
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enabled: true
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camera_id: 0
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check_on_wake: true
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continuous_interval_sec: 0
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threshold: 0.55
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enrollment_dir: "data/faces"
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llm:
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provider: "ollama"
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model: "qwen2.5:3b"
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system_prompt_file: "data/soul.md"
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ollama_host: "http://localhost:11434"
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max_history: 8
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temperature: 0.7
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conversation:
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followup_timeout_sec: 12
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max_followup_turns: 5
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silence_timeout_sec: 7
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listening_sound: true
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idle_timeout_sec: 0
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tts:
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engine: "piper"
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voice: "en_US-lessac-medium"
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volume: 0.9
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logging:
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level: "INFO"
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file: "data/jarvis.log"
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transcription_dir: "data/transcriptions"
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daemon:
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user_service: true
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