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/utils/lotusDenoiseUtils.ts

@@ -0,0 +1,68 @@
+/**
+ * Detection utilities for Lotus ML noise suppression (RNNoise).
+ */
+
+export type DenoiseModel = {
+  id: string;
+  name: string;
+  description: string;
+  cpuUsage: string;
+  binarySize: string;
+  transients: 'Poor' | 'Good' | 'Excellent';
+  voiceQuality: 'Moderate' | 'High' | 'Very High';
+};
+
+export const DENOISE_MODELS: DenoiseModel[] = [
+  {
+    id: 'rnnoise',
+    name: 'RNNoise (Mozilla)',
+    description: 'Lightweight hybrid model. Best for consistent noise like fans.',
+    cpuUsage: '< 5%',
+    binarySize: '< 1 MB',
+    transients: 'Poor',
+    voiceQuality: 'Moderate',
+  },
+  {
+    id: 'dtln',
+    name: 'DTLN (Balanced)',
+    description: 'Deep learning model with a good balance of quality and CPU.',
+    cpuUsage: '10-20%',
+    binarySize: '3-4 MB',
+    transients: 'Good',
+    voiceQuality: 'High',
+  },
+  {
+    id: 'deepfilternet',
+    name: 'DeepFilterNet 3 (Pro)',
+    description: 'State-of-the-art studio quality. Removes all background noise.',
+    cpuUsage: '25-50%+',
+    binarySize: '15-20 MB',
+    transients: 'Excellent',
+    voiceQuality: 'Very High',
+  },
+];
+
+export const isMLDenoiseSupported = (): boolean => {
+  if (typeof window === 'undefined') return false;
+
+  // Requirements:
+  // 1. AudioContext/webkitAudioContext (Web Audio API)
+  // 2. AudioWorklet (Real-time processing in a background thread)
+  // 3. getUserMedia (Microphone access)
+  const hasAudioContext = !!(window.AudioContext || (window as any).webkitAudioContext);
+  const hasAudioWorklet = hasAudioContext && !!AudioWorkletNode;
+  const hasGetUserMedia = !!(navigator.mediaDevices && navigator.mediaDevices.getUserMedia);
+
+  return hasAudioWorklet && hasGetUserMedia;
+};
+
+/**
+ * EXACT requirements for ML Denoise (for UI display).
+ */
+export const ML_DENOISE_REQUIREMENTS = [
+  'Modern browser with Web Audio API support',
+  'AudioWorklet support (Chrome 66+, Firefox 76+, Safari 14.1+)',
+  'Microphone access',
+  '48kHz AudioContext capability',
+];
+