feat(calls): implement advanced multi-model ML noise suppression system

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.

src/app/hooks/useCallEmbed.ts

@@ -46,6 +46,10 @@ export const createCallEmbed = (
   container: HTMLElement,
   pref?: CallPreferences,
   denoiseMode: NoiseSuppressionMode = 'browser',
+  denoiseModel: string = 'rnnoise',
+  denoiseNativeNS: boolean = true,
+  denoiseGate: boolean = false,
+  denoiseGateThreshold: number = -45,
   forceAudioOff = false,
 ): CallEmbed => {
   const rtcSession = mx.matrixRTC.getRoomSession(room);
@@ -60,6 +64,10 @@ export const createCallEmbed = (
     intent,
     themeKind,
     denoiseMode,
+    denoiseModel,
+    denoiseNativeNS,
+    denoiseGate,
+    denoiseGateThreshold,
     initialAudio,
     initialVideo,
   );
@@ -77,6 +85,10 @@ export const useCallStart = (dm = false) => {
   const setCallEmbed = useSetAtom(callEmbedAtom);
   const callEmbedRef = useCallEmbedRef();
   const [callNoiseSuppression] = useSetting(settingsAtom, 'callNoiseSuppression');
+  const [callDenoiseModel] = useSetting(settingsAtom, 'callDenoiseModel');
+  const [callDenoiseNativeNS] = useSetting(settingsAtom, 'callDenoiseNativeNS');
+  const [callDenoiseGate] = useSetting(settingsAtom, 'callDenoiseGate');
+  const [callDenoiseGateThreshold] = useSetting(settingsAtom, 'callDenoiseGateThreshold');
   const [pttMode] = useSetting(settingsAtom, 'pttMode');
 
   const startCall = useCallback(
@@ -97,12 +109,28 @@ export const useCallStart = (dm = false) => {
         container,
         pref,
         callNoiseSuppression ?? 'browser',
+        callDenoiseModel ?? 'rnnoise',
+        callDenoiseNativeNS ?? true,
+        callDenoiseGate ?? false,
+        callDenoiseGateThreshold ?? -45,
         !!pttMode,
       );
 
       setCallEmbed(callEmbed);
     },
-    [mx, dm, theme, setCallEmbed, callEmbedRef, callNoiseSuppression, pttMode],
+    [
+      mx,
+      dm,
+      theme,
+      setCallEmbed,
+      callEmbedRef,
+      callNoiseSuppression,
+      callDenoiseModel,
+      callDenoiseNativeNS,
+      callDenoiseGate,
+      callDenoiseGateThreshold,
+      pttMode,
+    ],
   );
 
   return startCall;