diff --git a/build/lotus-denoise.js b/build/lotus-denoise.js
index 7266ecb8e..b82640067 100644
--- a/build/lotus-denoise.js
+++ b/build/lotus-denoise.js
@@ -54,14 +54,6 @@
       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',
@@ -156,31 +148,14 @@
         }
 
         // 2. ML Processor
-        var mlOptions = {
+        var mlNode = new AudioWorkletNode(ctx, PROCESSORS[MODEL].name, {
           channelCount: 1,
+          channelCountMode: 'explicit',
           numberOfInputs: 1,
           numberOfOutputs: 1,
-          processorOptions: { maxChannels: 1 }
-        };
-
-        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);
+          outputChannelCount: [1],
+          processorOptions: { maxChannels: 1, wasmBinary: wasmBinary },
+        });
         head.connect(mlNode);
         mlNode.connect(dest);