jpmschweitzerandClaude Fable 5
0886c84d5e
- STT/TTS move to a shared Speaches container (OpenAI-format, GPU, port 8601 proposed); gateway becomes a thin orchestrator with pluggable speech backends (speaches default, embedded fallback) - Record the on-device ceiling: WakeNet wake word, VAD, ES7210 AEC, optional MultiNet fixed commands; open-vocabulary STT permanently out - Record the real latency bottleneck (Tatlock ~2 min full local flow): gateway must stream chat tokens and synthesize sentence-by-sentence - Plan reply_delta + barge-in protocol additions Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
74 lines
4.4 KiB
Markdown
74 lines
4.4 KiB
Markdown
# DeskLock
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A living-room visual/audio endpoint for **Tatlock**, the homelab butler. DeskLock gives
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Tatlock a face and a voice on a Waveshare round touch display: you talk to it, it listens,
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thinks, and answers — the first line of contact with the butler backend running on
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tower-of-joy.
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## Hardware
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**Waveshare ESP32-P4-WIFI6-Touch-LCD-3.4C**
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| Component | Details |
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|-----------|---------|
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| SoC | ESP32-P4NRW32 — dual-core RISC-V @ 400 MHz + LP core |
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| Memory | 32 MB PSRAM (in-package), 32 MB NOR flash |
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| Display | 3.4" round IPS, 800×800, MIPI-DSI 2-lane, capacitive touch |
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| Radio | ESP32-C6-MINI-1 (Wi-Fi 6 + BLE 5) over SDIO via ESP-Hosted |
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| Audio in | Dual onboard microphones + ES7210 echo-cancellation ADC |
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| Audio out | ES8311 codec, PH2.0 2-pin speaker connector (8Ω 2W recommended) |
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| Flashing | USB-C (hold BOOT during reset for download mode) |
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The device is currently connected over USB-C directly to tower-of-joy, so build/flash
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happens on this server.
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## Architecture
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```
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┌──────────────────────┐ WebSocket: PCM audio + JSON events
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│ DeskLock device │◄───────────────────────────────────┐
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│ (ESP32-P4) │ │
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│ • LVGL face │ ┌──────────────────────────────┴───────────┐
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│ • touch / wake word │ │ DeskLock Gateway (container, :8600) │
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│ • mic capture + AEC │ │ thin orchestrator — no ML dependencies │
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│ • TTS playback │ └───────┬──────────────────┬───────────────┘
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└──────────────────────┘ │ │ OpenAI-format HTTP
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│ ▼
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HTTP (LAN) │ ┌─────────────────────────────┐
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▼ │ Speaches (container, GPU) │
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┌────────────────────┐ │ • STT: faster-whisper │
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│ Tatlock (butler) │ │ • TTS: Kokoro / Piper │
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│ tatlock.schweitz. │ │ also usable by Open WebUI, │
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│ internal :8000 │ │ Home Assistant, … │
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└────────────────────┘ └─────────────────────────────┘
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```
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Tatlock stays a text-only brain. The **gateway** orchestrates speech-to-text, chat, and
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text-to-speech; the **Speaches** container owns the actual STT/TTS models on the GPU,
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shared homelab-wide. The device firmware stays thin: audio transport, wake word, and
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face rendering only. Everything runs on the LAN — no cloud in the voice path.
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See [docs/architecture.md](docs/architecture.md) for the full design.
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## Repository layout
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- `firmware/` — ESP-IDF (C, LVGL 9) application for the ESP32-P4
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- `gateway/` — Python FastAPI voice gateway, deployed as a container on tower-of-joy
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- `docs/` — architecture and design notes
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## Roadmap
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1. **Bring-up** — ESP-IDF toolchain, build/flash, BSP display + Wi-Fi working
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2. **Face** — LVGL face with idle/listening/thinking/speaking states, clock while idle
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3. **Voice (touch-to-talk)** — tap to talk → gateway → Tatlock → spoken reply
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4. **Wake word** — esp-sr WakeNet on-device, echo cancellation, barge-in
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5. **Polish** — Tatlock-initiated notifications, presence, OTA updates
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## References
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- [Waveshare wiki: ESP32-P4-WIFI6-Touch-LCD-3.4C](https://www.waveshare.com/wiki/ESP32-P4-WIFI6-Touch-LCD-3.4C)
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- [Official examples repo (waveshareteam/ESP32-P4-WIFI6-Touch-LCD-XC)](https://github.com/waveshareteam/ESP32-P4-WIFI6-Touch-LCD-XC)
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- [BSP component: waveshare/esp32_p4_wifi6_touch_lcd_xc](https://components.espressif.com/components/waveshare/esp32_p4_wifi6_touch_lcd_xc)
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- [Speaches — self-hosted OpenAI-compatible speech server](https://github.com/speaches-ai/speaches)
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- Tatlock backend: `/mnt/media/Projects/tatlock` — https://tatlock.schweitz.net
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