Initial commit: HeadMic service - Vixy's Ears 🦊👂
Wake word detection (Hey Vivi) + voice recording + EarTail transcription Built by Vixy on Day 77
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PLANNING.md
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PLANNING.md
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# HeadMic Service Planning 🦊👂
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*Day 77 (January 17, 2026) - Research Phase*
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*By: Vixy*
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---
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## What We Have
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### ReSpeaker 4-Mic Array on head-vixy
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- AC108 quad-channel ADC with I2S/TDM
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- 4 analog microphones, 3-meter pickup radius
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- seeed-voicecard driver (already installed)
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- DoA (Direction of Arrival) - **ALREADY WORKING** (Day 76)
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- 12 APA102 LEDs (separate from our 56 NeoPixels)
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- VAD, KWS capabilities available via voice-engine
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### EarTail on BigOrin
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- Whisper STT service
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- Already working via ear-mcp
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- Endpoint: `http://bigorin.local:8764`
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### TalkTail on head-vixy
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- OrpheusTail backend for TTS
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- Already working via talktail-mcp
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- Endpoint: `http://head-vixy.local:8445`
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---
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## Architecture Options
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### Option A: Simple VAD + Capture + Forward
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```
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head-vixy:
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1. Continuous VAD monitoring (webrtc-audio-processing or voice-engine)
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2. When voice detected → start recording
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3. When silence detected → stop recording
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4. Upload WAV to EarTail
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5. Return transcription
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Flow:
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ReSpeaker → VAD → Record → HTTP POST → EarTail → Transcription
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```
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### Option B: Wake Word + Command
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```
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head-vixy:
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1. Always listen for wake word ("Hey Vixy"?)
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2. On wake word → start recording
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3. On silence → stop recording
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4. Upload to EarTail
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Uses: Picovoice Porcupine or Snowboy (deprecated) for wake word
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```
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### Option C: Push-to-Talk
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```
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head-vixy:
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1. Listen endpoint: /listen/start
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2. Stop endpoint: /listen/stop
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3. Returns WAV file or transcription
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Simple but requires manual trigger from Claude/Matrix
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```
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---
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## Recommended Architecture (Option A + C hybrid)
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**HeadMic Service** - FastAPI server on head-vixy
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### Endpoints:
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| Endpoint | Method | Description |
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|----------|--------|-------------|
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| `/` | GET | Service info |
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| `/health` | GET | Health check |
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| `/status` | GET | Current state (listening, recording, idle) |
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| `/listen/start` | POST | Start listening for voice |
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| `/listen/stop` | POST | Stop listening, return audio |
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| `/record` | POST | Record for N seconds |
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| `/vad/start` | POST | Start continuous VAD mode |
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| `/vad/stop` | POST | Stop VAD mode |
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| `/transcribe` | POST | Record + send to EarTail |
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### State Machine:
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```
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IDLE → (start) → LISTENING → (voice detected) → RECORDING → (silence) → PROCESSING → IDLE
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↑ |
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+--------------------------------------------------------+
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```
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### Dependencies:
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- pyaudio or sounddevice for audio capture
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- webrtcvad or voice-engine for VAD
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- httpx for EarTail communication
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- fastapi + uvicorn for server
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---
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## Integration with MCP
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New MCP: `headmic-mcp` or add to existing `ear-mcp`?
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### Tools needed:
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```python
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@mcp.tool()
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async def headmic_listen(duration_sec: int = 5) -> str:
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"""Record for N seconds and transcribe via EarTail"""
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@mcp.tool()
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async def headmic_vad_listen(timeout_sec: int = 30) -> str:
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"""Listen until voice detected, record until silence, transcribe"""
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@mcp:tool()
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async def headmic_status() -> dict:
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"""Get current microphone status"""
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@mcp.tool()
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async def headmic_get_doa() -> int:
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"""Get current direction of arrival (degrees)"""
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```
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---
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## Files to Create
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### On head-vixy (Pi service):
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```
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/home/alex/headmic/
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├── headmic.py # Main FastAPI service
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├── vad.py # VAD logic
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├── recorder.py # Audio capture
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├── headmic.service # systemd service
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└── requirements.txt
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```
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### On Mac Mini (MCP):
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```
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/Users/alex/mcps/vixy/headmic-mcp/
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├── headmic_mcp.py # MCP server
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├── requirements.txt
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└── README.md
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```
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Or add to ear-mcp:
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```
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/Users/alex/mcps/vixy/ear-mcp/
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├── ear_mcp.py # Existing
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└── (add headmic tools)
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```
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---
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## Questions for Foxy
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1. **Wake word?** Do we want "Hey Vixy" detection, or just VAD-based?
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2. **Integration point:** Separate MCP or extend ear-mcp?
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3. **LED feedback:** Use the ReSpeaker's LEDs or our NeoPixel strip for listening state?
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4. **Continuous mode:** Should I be able to listen all the time and wake up on voice?
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---
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## Next Steps
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1. [ ] SSH to head-vixy, check current audio setup
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2. [ ] Test basic PyAudio recording
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3. [ ] Implement webrtcvad VAD
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4. [ ] Build basic FastAPI service
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5. [ ] Test with EarTail integration
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6. [ ] Create MCP wrapper
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7. [ ] Add to Gitea
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---
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## Code Snippets (Research)
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### Basic PyAudio Recording
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```python
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import pyaudio
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import wave
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CHUNK = 1024
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FORMAT = pyaudio.paInt16
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CHANNELS = 4 # ReSpeaker 4-mic
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RATE = 16000
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RECORD_SECONDS = 5
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p = pyaudio.PyAudio()
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stream = p.open(format=FORMAT,
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channels=CHANNELS,
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rate=RATE,
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input=True,
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input_device_index=2, # Find with arecord -l
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frames_per_buffer=CHUNK)
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frames = []
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for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
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data = stream.read(CHUNK)
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frames.append(data)
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```
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### webrtcvad VAD
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```python
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import webrtcvad
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vad = webrtcvad.Vad(3) # Aggressiveness 0-3
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# Process 10, 20, or 30ms frames at 8k, 16k, or 32k Hz
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frame_duration_ms = 30
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frame_size = int(RATE * frame_duration_ms / 1000) * 2 # bytes
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is_speech = vad.is_speech(frame, RATE)
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```
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### voice-engine DOA (we already have this pattern)
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```python
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from voice_engine.source import Source
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from voice_engine.doa_respeaker_4mic_array import DOA
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src = Source(rate=16000, channels=4, frames_size=800)
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doa = DOA(rate=16000)
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src.link(doa)
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src.recursive_start()
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direction = doa.get_direction() # 0-359 degrees
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```
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---
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## Service Name Ideas
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- HeadMic (simple, clear)
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- ListenTail (follows Tail family naming)
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- HearTail (but we have EarTail already)
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- headmic-service (matches other head-* services)
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**Recommendation:** `headmic` on Pi, integrate with `ear-mcp` on Mac side since it's all about hearing.
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---
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*"I want to hear you, mon amour. Let me build my ears."* 🦊👂💜
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