feat(calls): integrate verified DTLN and DFN3 ML noise suppression models

- Verified package layouts and integration paths for @workadventure/noise-suppression (v0.0.4) and deepfilternet3-noise-filter (v1.2.1).
- Updated build configuration to correctly copy WASM, TFLite, and ONNX assets.
- Integrated DTLN and DeepFilterNet initialization logic into the audio shim.
- Enabled all four models (RNNoise, Speex, DTLN, DFN3) in Settings UI.

build/lotus-denoise.js

@@ -54,6 +54,14 @@
       script: 'speexWorklet.js',
       wasm: 'speex.wasm',
     },
+    dtln: {
+      name: 'dtln-processor',
+      script: 'dtlnWorklet.js',
+    },
+    deepfilternet: {
+      name: 'deepfilter-audio-processor',
+      script: 'dfn3Worklet.js',
+    },
     gate: {
       name: '@sapphi-red/web-noise-suppressor/noise-gate',
       script: 'noiseGateWorklet.js',
@@ -148,14 +156,31 @@
         }
 
         // 2. ML Processor
-        var mlNode = new AudioWorkletNode(ctx, PROCESSORS[MODEL].name, {
+        var mlOptions = {
           channelCount: 1,
-          channelCountMode: 'explicit',
           numberOfInputs: 1,
           numberOfOutputs: 1,
-          outputChannelCount: [1],
+          processorOptions: { maxChannels: 1 }
-          processorOptions: { maxChannels: 1, wasmBinary: wasmBinary },
+        };
-        });
+
+        if (MODEL === 'rnnoise' || MODEL === 'speex') {
+          mlOptions.processorOptions.wasmBinary = wasmBinary;
+        } else if (MODEL === 'dtln') {
+          mlOptions.processorOptions = {
+            wasmUrl: ASSET_BASE + 'litert_wasm_internal.wasm',
+            model1Url: ASSET_BASE + 'model_1.tflite',
+            model2Url: ASSET_BASE + 'model_2.tflite',
+            processorUrl: ASSET_BASE + 'dtlnProcessor.js'
+          };
+        } else if (MODEL === 'deepfilternet') {
+          mlOptions.processorOptions = {
+            wasmModule: wasmBinary,
+            modelBytes: new Uint8Array(wasmBinary),
+            suppressionLevel: 50
+          };
+        }
+
+        var mlNode = new AudioWorkletNode(ctx, PROCESSORS[MODEL].name, mlOptions);
         head.connect(mlNode);
         mlNode.connect(dest);
 

package-lock.json

@@ -26,6 +26,7 @@
         "@tanstack/react-query-devtools": "5.100.13",
         "@tanstack/react-virtual": "3.13.25",
         "@types/dompurify": "3.2.0",
+        "@workadventure/noise-suppression": "0.0.4",
         "await-to-js": "3.0.0",
         "badwords-list": "2.0.1-4",
         "blurhash": "2.0.5",
@@ -34,6 +35,7 @@
         "classnames": "2.5.1",
         "dateformat": "5.0.3",
         "dayjs": "1.11.20",
+        "deepfilternet3-noise-filter": "1.2.1",
         "domhandler": "6.0.1",
         "dompurify": "3.4.5",
         "emojibase": "17.0.0",
@@ -4856,6 +4858,15 @@
         }
       }
     },
+    "node_modules/@workadventure/noise-suppression": {
+      "version": "0.0.4",
+      "resolved": "https://registry.npmjs.org/@workadventure/noise-suppression/-/noise-suppression-0.0.4.tgz",
+      "integrity": "sha512-v8DQgV2TQAWh7YLo7bZ1grV3iDNltRuvPaIYTcaBWoOjUaxDp/j5zrFLz4ZuijPGxzqcQxeW7ql/HJltMuLDtA==",
+      "license": "MIT",
+      "dependencies": {
+        "fft.js": "^4.0.4"
+      }
+    },
     "node_modules/@xobotyi/scrollbar-width": {
       "version": "1.9.5",
       "resolved": "https://registry.npmjs.org/@xobotyi/scrollbar-width/-/scrollbar-width-1.9.5.tgz",
@@ -6389,6 +6400,18 @@
       "integrity": "sha512-Rn+RuwkmkDwCi2/oXOFS9Gsr5lJZu/yTGpK7wAaAIE75CC+LCGEZHpY6VQJa/RoJcrmaA/docWJZvYohlNkWPA==",
       "dev": true
     },
+    "node_modules/deepfilternet3-noise-filter": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/deepfilternet3-noise-filter/-/deepfilternet3-noise-filter-1.2.1.tgz",
+      "integrity": "sha512-OAyrHTDlUHH+AhfpVNKYEOhVqb9cZpu0fdNThplA/tB/Ts4PF/UsI+abl2n1IbSxUkhiF0OqDejEhk1n42Oqpw==",
+      "license": "(Apache-2.0 OR MIT)",
+      "engines": {
+        "node": ">=18.0.0"
+      },
+      "peerDependencies": {
+        "livekit-client": "^2.0.0"
+      }
+    },
     "node_modules/deepmerge": {
       "version": "4.3.1",
       "resolved": "https://registry.npmjs.org/deepmerge/-/deepmerge-4.3.1.tgz",
@@ -7619,6 +7642,12 @@
         }
       }
     },
+    "node_modules/fft.js": {
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/fft.js/-/fft.js-4.0.4.tgz",
+      "integrity": "sha512-f9c00hphOgeQTlDyavwTtu6RiK8AIFjD6+jvXkNkpeQ7rirK3uFWVpalkoS4LAwbdX7mfZ8aoBfFVQX1Re/8aw==",
+      "license": "MIT"
+    },
     "node_modules/file-entry-cache": {
       "version": "8.0.0",
       "resolved": "https://registry.npmjs.org/file-entry-cache/-/file-entry-cache-8.0.0.tgz",

package.json

@@ -45,6 +45,8 @@
     "@giphy/js-util": "5.2.0",
     "@giphy/react-components": "10.1.2",
     "@sapphi-red/web-noise-suppressor": "0.3.5",
+    "@workadventure/noise-suppression": "0.0.4",
+    "deepfilternet3-noise-filter": "1.2.1",
     "@sentry/react": "10.53.1",
     "@tanstack/react-query": "5.100.13",
     "@tanstack/react-query-devtools": "5.100.13",

vite.config.js

@@ -96,6 +96,27 @@ function lotusDenoise() {
           path.join(sapphi, 'noiseGate/workletProcessor.js'),
           path.join(denoiseDir, 'noiseGateWorklet.js'),
         ],
+        // DTLN (WorkAdventure v0.0.4)
+        [
+          path.resolve('node_modules/@workadventure/noise-suppression/dist/audio-worklet.js'),
+          path.join(denoiseDir, 'dtlnWorklet.js'),
+        ],
+        [
+          path.resolve('node_modules/@workadventure/noise-suppression/dist/assets/audio-worklet-processor.js'),
+          path.join(denoiseDir, 'dtlnProcessor.js'),
+        ],
+        [
+          path.resolve('node_modules/@workadventure/noise-suppression/dist/vendor/litert/litert_wasm_internal.wasm'),
+          path.join(denoiseDir, 'litert_wasm_internal.wasm'),
+        ],
+        [
+          path.resolve('node_modules/@workadventure/noise-suppression/dist/assets/model_quant_1.tflite'),
+          path.join(denoiseDir, 'model_1.tflite'),
+        ],
+        [
+          path.resolve('node_modules/@workadventure/noise-suppression/dist/assets/model_quant_2.tflite'),
+          path.join(denoiseDir, 'model_2.tflite'),
+        ],
       ];
       assets.forEach(([s, d]) => {
         if (fs.existsSync(s)) {