The prior DTLN attempt (89a2321d) broke the build (missing dep, wrong
`cinny/` asset paths) and typecheck (`'dtln'` not in DenoiseModelId), and was
wired against an API the package doesn't expose. @workadventure/noise-
suppression is not a flat AudioWorklet — it's a self-contained ES module whose
processor name is `workadventure-noise-suppression` and which resolves its own
LiteRT WASM + TFLite models via import.meta.url. Driving it by hand-rolled
addModule + processorOptions cannot work.
- Re-add @workadventure/noise-suppression@0.0.4 (package.json + lockfile).
- vite: copy the package's whole dist/ tree intact to
denoise/workadventure/ (preserving assets/ + vendor/litert) so import.meta
resolution works at runtime; fail the build if the entry module is missing.
- shim: for the DTLN model, dynamic-import denoise/workadventure/audio-worklet
.js and use createNoiseSuppressionAudioWorklet(ctx, { bypassUntilReady })
to build the node; RNNoise/Speex keep their direct flat-worklet path. Async
init errors are logged + reported and fall back to the raw mic.
- Restore 'dtln' in DenoiseModelId (+ settings coercion), the model chart, and
the settings dropdown, labelled "(beta)".
DTLN builds and is fully self-hosted, but its in-call audio is UNVERIFIED in
this environment — needs a real-call test. DeepFilterNet stays excluded (CDN
asset loading, incompatible with self-hosting / Tauri CSP).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
jared
86272b6b08