- README explaining experimental/transparency purpose - faster-whisper STT backend (fw-stt.mjs, faster-whisper-server.py, install-faster-whisper.sh) - Bug fixes: Buffer alignment in on_audio, --debug-waveform URL parsing, silent fetch errors, instant dispatch timer leak - Global uncaughtException/unhandledRejection handlers in query-demo.mjs - Design docs: CHANGELOG, COMMAND-DISPATCH, INTERFACE-THEORY, VOICE-POLICY - Systemd service unit templates Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
41 lines
1.9 KiB
Markdown
41 lines
1.9 KiB
Markdown
# Voice Pipeline Experiment
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This repository is an active experiment. It is published for **transparency and reference** — not as a finished or production-ready project. Expect rough edges, dead ends, work-in-progress notes, and design docs that describe things not yet built.
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## What this is
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A local voice interface for [Claude Code](https://github.com/anthropics/claude-code): speak a query, it transcribes, classifies intent, and dispatches to Claude. The stack runs entirely on local hardware — no cloud STT/TTS.
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Core components:
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| File | Role |
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|------|------|
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| `query-demo.mjs` | Main entry point — mic → STT → query state machine → dispatch |
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| `lib/pending-query.mjs` | Query state machine: wake word, silence timer, send/cancel/pause |
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| `lib/stt.mjs` | Silero VAD + Whisper STT (sherpa-onnx backend) |
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| `lib/fw-stt.mjs` | faster-whisper STT backend with word-level timestamps |
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| `tts-server.mjs` | TTS HTTP server (Chatterbox model, voice switching) |
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| `lib/tts-client.mjs` | HTTP client for the TTS server |
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| `voices.yaml` | Named voice configuration |
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| `faster-whisper-server.py` | Python subprocess for faster-whisper transcription |
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| `install-faster-whisper.sh` | Builds ctranslate2 from source for CUDA 13 compatibility |
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| `download-models.sh` | Downloads Whisper and VAD models |
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| `query-demo.service` / `tts-server.service` | Systemd unit templates |
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## Status
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Working but experimental. The design docs (`CLEANUP-PLAN.md`, `COMMAND-DISPATCH.md`, etc.) describe architectural directions not yet implemented. The project will eventually split into separate focused repositories.
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## Offshoots
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Links to derived, cleaner projects will be added here as they become ready.
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## Requirements
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- Node.js (ESM)
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- Python 3 with a venv (`setup-venv.sh` or `install-faster-whisper.sh`)
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- CUDA GPU (for faster-whisper backend)
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- PulseAudio or ALSA for mic capture
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- `sherpa-onnx-node` npm package
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- Chatterbox TTS model
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