class BandpassProcessor extends AudioWorkletProcessor { process (inputs, outputs) { const input = inputs[0] const output = outputs[0] // const frequency = parameters.frequency // const Q = parameters.Q for (let channel = 0; channel < input.length; channel++) { const inputChannel = input[channel] // const outputChannel = output[channel] for (let i = 0; i < inputChannel.length; i++) { // Apply bandpass filter to inputChannel[i] and store the result in outputChannel[i] // using the provided frequency and Q parameters } } // Calculate the RMS value of the output audio data const rms = this.calculateRMS(output) // Calculate the dB values const dbValues = this.convertToDB(output) // Calculate the 10th and 90th percentile values const percentile10 = this.calculatePercentile(dbValues, 10) const percentile90 = this.calculatePercentile(dbValues, 90) // Send the processed data to the main thread this.port.postMessage({ rms, dbValues, percentile10, percentile90 }) return true } calculateRMS (data) { let sumOfSquares = 0 for (let channel = 0; channel < data.length; channel++) { const channelData = data[channel] for (let i = 0; i < channelData.length; i++) { sumOfSquares += channelData[i] * channelData[i] } } const meanSquare = sumOfSquares / (data.length * data[0].length) const rms = Math.sqrt(meanSquare) return rms } calculatePercentile (data, percentile) { const sortedData = data.slice().sort((a, b) => a - b) const index = Math.floor((percentile / 100) * sortedData.length) return sortedData[index] } convertToDB (data) { const dbValues = [] for (let channel = 0; channel < data.length; channel++) { const channelData = data[channel] for (let i = 0; i < channelData.length; i++) { const amplitude = Math.abs(channelData[i]) const db = 20 * Math.log10(amplitude + this.minAmplitude) dbValues.push(db) } } return dbValues } } export default registerProcessor('bandpass-processor', BandpassProcessor)