ML noise suppression produced loud static on real calls. RNNoise requires
mono 48kHz float input; feeding it stereo or wrong-rate data is the classic
cause of that static. Harden the shim:
- request mono (channelCount:1) + 48kHz capture
- run a 48kHz AudioContext and BAIL to the raw mic if the browser won't
give a true 48kHz context (wrong-rate data -> static)
- force the worklet node to explicit mono in/out
- use the non-SIMD rnnoise.wasm (SIMD build artifacts on some GPUs)
- share one AudioContext across captures
Also fix the two CI-blocking eslint errors (unused vars in UrlPreviewCard
and useLocalMessageSearch) and apply repo-wide prettier formatting so
check:eslint and check:prettier pass.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- Point DECORATION_CDN at Lotus Nextcloud WebDAV share instead of external
avatardecoration.com; all 99 APNG files are self-hosted and served via
direct DAV URL (no CORS issue for <img> elements)
- Add onError handler to AvatarDecoration.tsx to silently hide the overlay
if a file is missing or the CDN is unreachable
- Rewrite scripts/syncDecorations.mjs: now sends HTTP HEAD requests to the
live Nextcloud CDN (batches of 16 in parallel) and removes catalog entries
for files that return non-2xx; empty categories are pruned automatically.
Workflow: delete files from Nextcloud → run `npm run sync:decorations` →
commit the updated avatarDecorations.ts. No local files needed.
- Add public/decorations/ to .gitignore; delete the 85 MB local APNG cache
that was downloaded during development (files live on Nextcloud now)
- Add sync:decorations script to package.json
- Update LOTUS_FEATURES.md, LOTUS_TODO.md (P5-13 + P5-14 ✓), README.md
with avatar decoration documentation and catalog sync workflow
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
jared