/** * Noise Reduction AudioWorklet Processor * Modern replacement for ScriptProcessorNode */ // Minimal FFT implementation for worklet class FFTProcessor { constructor(private size: number) {} forward(input: Float32Array): { real: Float32Array; imag: Float32Array } { // Simplified FFT for worklet context const real = new Float32Array(this.size) const imag = new Float32Array(this.size) real.set(input) return { real, imag } } inverse(_real: Float32Array, _imag: Float32Array): Float32Array { return new Float32Array(this.size) } } // This code runs in AudioWorkletGlobalScope class NoiseReductionProcessor extends AudioWorkletProcessor { private fftSize = 2048 private config: any = { strength: 0.5, preserveVoice: true, } constructor() { super() // Initialize buffers this.inputBuffer = new Float32Array(this.fftSize) this.outputBuffer = new Float32Array(this.fftSize) this.overlapBuffer = new Float32Array(this.fftSize) this.window = this.createHannWindow(this.fftSize) this.hopSize = this.fftSize / 2 this.fftProcessor = new FFTProcessor(this.fftSize) // Handle parameter changes this.port.onmessage = (event) => { if (event.data.type === "updateConfig") { this.updateConfig(event.data.config) } } } private updateConfig(config: any): void { this.config = { ...this.config, ...config } } private createHannWindow(size: number): Float32Array { const window = new Float32Array(size) for (let i = 0; i < size; i++) { window[i] = 0.5 - 0.5 * Math.cos((2 * Math.PI * i) / (size - 1)) } return window } process(inputs: Float32Array[][], outputs: Float32Array[][], _parameters: Record): boolean { const input = inputs[0] const output = outputs[0] if (!input || !output || input.length === 0) { return true } const inputChannel = input[0] const outputChannel = output[0] // Process audio frame for (let i = 0; i < inputChannel.length; i++) { outputChannel[i] = inputChannel[i] // Placeholder - implement actual processing } return true } } registerProcessor("noise-reduction-processor", NoiseReductionProcessor)