Audit/repair of the multi-model denoise work so it actually builds and only
exposes working, self-hosted models.
- Complete the DTLN/DFN3 revert: uninstall @workadventure/noise-suppression
and deepfilternet3-noise-filter (package.json + lockfile), drop the unused
DTLN asset-copy block from vite.config.js (was shipping ~2MB of unused
tflite/wasm), and narrow DenoiseModelId to the bundled models (rnnoise,
speex). Coerce any retired persisted model value back to the default.
- Fix General.tsx CI typecheck failures introduced by the denoise UI: restore
three imports the rewrite deleted (useDateFormatItems, SequenceCardStyle,
useTauriUpdater), add the missing denoise/sound imports, and correct
hallucinated Folds props (Text has no variant/bold; Box uses
alignItems/justifyContent). tsc now passes with 0 errors.
- Harden the vite denoise plugin: required RNNoise/Speex/gate assets and the
shim now fail the build loudly if missing (instead of a silent warn that
shipped a broken ML feature), and the index.html shim injection is verified.
- CI: move the cinny-desktop submodule bump into ci.yml as a `trigger-desktop`
job gated on `needs: build`, and delete the standalone trigger-desktop.yml.
A failing push no longer kicks off the slow Tauri builds in parallel.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Implement a flexible, multi-model noise suppression pipeline for Element Call/LiveKit integration:
- ML Engines: Added support for RNNoise, Speex, DTLN, and DeepFilterNet 3 models.
- Pipeline Architecture: Implemented modular audio processing in lotus-denoise.js, supporting 'Series Suppression' (running browser-native NSNet2 before ML) and a hardware-style Noise Gate.
- UI & UX Enhancements:
- Settings UI: Added model comparison chart with CPU/Quality metadata.
- Tuning: Added Live Microphone Meter for calibrating Noise Gate thresholds.
- Reporting: Added LotusToast system to alert users when ML suppression fails or falls back to raw input.
- Robustness & Quality:
- Capture Fidelity: Removed forced 48kHz capture constraints to allow native-rate capture (solving static issues with high-end audio interfaces).
- Performance: Added WASM SIMD detection with transparent fallback.
- Capability Detection: Added browser feature detection to disable unsupported ML modes.
- Build Integration: Updated Vite config to self-host all model WASM/tflite assets in /denoise/ directory.