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Integrate DeepFilterNet 3 (deepfilternet3-noise-filter@1.2.1) as a new client-side denoise model id 'deepfilternet', mirroring the DTLN pattern. The npm package ships only an ESM whose AudioWorklet processor + wasm-bindgen glue are inlined as a string (loaded via a Blob URL — no CDN for the worklet). Its only runtime fetches are a single-threaded df_bg.wasm and an ONNX model tarball, which previously loaded from an external CDN. We now VENDOR both (build/denoise-vendor/deepfilternet/v2/...) and self-host them under denoise/deepfilternet/, overriding the package's cdnUrl so nothing hits the upstream CDN — keeping it self-hosted / Tauri-CSP safe. The wasm is single-threaded (no SharedArrayBuffer / atomics / imported shared memory), so it needs no COOP/COEP cross-origin isolation and runs fine in EC's non-isolated iframe. Runs at 48 kHz fullband. Any init/runtime failure falls back to the raw mic, like the other models. - vite.config.js: copy ESM + vendored wasm/model into the EC denoise dir with a required-asset guard that aborts the build if any entry is missing. - build/lotus-denoise.js: 'deepfilternet' branch — dynamic-import the ESM, build a DeepFilterNet3Core pointed at the self-hosted base, await init, return the worklet node; 48 kHz; raw-mic fail-safe preserved. - denoisePipeline.ts: 'deepfilternet' branch for the in-app tester + sampleRate. - settings.ts: add 'deepfilternet' to DenoiseModelId + getSettings whitelist. - lotusDenoiseUtils.ts: add the comparison-chart row. - General.tsx: add the "DeepFilterNet 3 (beta)" dropdown option. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>