ChannelSteamer und Octave.js2
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README.md
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README.md
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pro Messpunkt
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125ms
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LAF90
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LAF10
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TargetGain
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CurrentGain
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MicrofonSignal clear
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MicofoneSigal gedämpft (AWeighted)
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[time: 125, values: [35,50,50,40]
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# Nuxt 3 Minimal Starter
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Look at the [Nuxt 3 documentation](https://nuxt.com/docs/getting-started/introduction) to learn more.
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@ -56,3 +97,5 @@ npm run preview
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```
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Check out the [deployment documentation](https://nuxt.com/docs/getting-started/deployment) for more information.
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<template>
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<div>
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<button @click="startMicrophone">Start Microphone</button>
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<button @click="stopMicrophone">Stop Microphone</button>
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<div v-if="errorMessage">{{ errorMessage }}</div>
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</div>
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</template>
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<script>
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export default {
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data() {
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return {
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audioContext: null,
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microphoneStream: null,
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audioProcessorNode: null,
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errorMessage: null,
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};
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},
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methods: {
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async startMicrophone() {
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try {
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this.initializeAudioContext();
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await this.requestMicrophoneAccess();
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await this.setupAudioProcessing();
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} catch (error) {
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console.error('Error starting microphone:', error.message);
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this.errorMessage = error.message;
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}
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finally{
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console.log("Microphone started")
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}
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},
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stopMicrophone() {
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this.cleanup();
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},
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initializeAudioContext() {
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this.audioContext = new window.AudioContext();
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},
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async requestMicrophoneAccess() {
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try {
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this.microphoneStream = await navigator.mediaDevices.getUserMedia({ audio: true });
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} catch (error) {
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console.error('Error accessing microphone:', error.message);
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this.errorMessage = 'Microphone access denied. Please grant permission in your browser settings.';
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throw new Error('Microphone access denied.');
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}
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if (!this.microphoneStream || !(this.microphoneStream instanceof MediaStream)) {
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throw new Error('Microphone stream is not available.');
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}
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},
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async setupAudioProcessing() {
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try {
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const microphoneSource = this.audioContext.createMediaStreamSource(this.microphoneStream);
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await this.audioContext.audioWorklet.addModule('/scripts/octave2.js');
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//this.audioProcessorNode = new AudioWorkletNode(this.audioContext, 'octave');
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//microphoneSource.connect(this.audioProcessorNode);
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//this.audioProcessorNode.connect(this.audioContext.destination);
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} catch (error) {
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console.error('Error setting up audio processing:', error.message);
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this.errorMessage = 'Error setting up audio processing. Please check your microphone and try again.';
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throw new Error('Audio processing setup failed.');
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}
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},
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cleanup() {
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if (this.audioContext) {
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if (this.audioProcessorNode) {
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this.audioProcessorNode.disconnect();
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this.audioProcessorNode.port.postMessage({ command: 'stop' });
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}
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this.audioContext.close();
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this.resetVariables();
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}
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},
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resetVariables() {
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this.audioContext = null;
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this.microphoneStream = null;
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this.audioProcessorNode = null;
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this.errorMessage = null;
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},
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},
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beforeDestroy() {
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this.cleanup();
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},
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};
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</script>
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class OctaveBandProcessor extends AudioWorkletProcessor {
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constructor() {
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super();
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// Define center frequencies for 9 octave bands
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this.centerFrequencies = [63, 125, 250, 500, 1000, 2000, 4000, 8000, 16000];
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this.filters = [];
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this.lastUpdateTimestamp = 0;
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this.updateInterval = 0.125; // Update every 0.125 seconds
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// Create an A-weighting filter for specific frequencies
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this.createAWeightingFilter();
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// Create bandpass filters for each center frequency
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this.centerFrequencies.forEach(frequency => {
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const filter = new BiquadFilterNode(audioContext, {
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type: 'bandpass',
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frequency: frequency,
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Q: 1.41, // Set the desired Q value
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});
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this.filters.push(filter);
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});
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// Set up analyzers for calculating percentiles
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this.setupAnalyzers();
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}
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createAWeightingFilter() {
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// Use the provided A-weighting filter coefficients
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const aWeightingCoefficients = [0, -0.051, -0.142, -0.245, -0.383, -0.65, -1.293, -2.594, -6.554]; //David
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// Create a custom IIR filter node with the A-weighting coefficients
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this.aWeightingFilter = new IIRFilterNode(audioContext, {
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feedforward: aWeightingCoefficients,
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feedback: [1],
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});
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}
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setupAnalyzers() {
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this.analyzers = [];
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this.centerFrequencies.forEach((frequency) => {
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this.analyzers.push([]);
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for (let i = 0; i < 5; i++) { // Unique identifiers from 0 to 4
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const analyzer = audioContext.createAnalyser();
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analyzer.fftSize = 2048;
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// Check if the identifier is 0 (microphone audio) before connecting to the A-weighting filter
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if (i === 0) {
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this.aWeightingFilter.connect(analyzer);
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}
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this.analyzers[this.analyzers.length - 1].push(analyzer);
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}
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})
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}
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process(inputs, outputs) {
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const numOutputChannels = outputs.length;
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for (let i = 0; i < numOutputChannels; i++) {
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const outputChannel = outputs[i][0];
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const inputChannel = inputs[i][0];
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// Apply the filter to the input channel
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const filteredSignal = this.filters[i].process(inputChannel);
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// Apply A-weighting only to the microphone signal (channel 0)
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if (i === 0) {
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const aWeightedSignal = this.aWeightingFilter.process(filteredSignal);
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outputChannel.set(aWeightedSignal);
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} else {
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// For other channels, pass the signal without A-weighting
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outputChannel.set(filteredSignal);
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}
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// Check if it's time to update percentiles
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const currentTime = this.currentTime;
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if (currentTime - this.lastUpdateTimestamp >= this.updateInterval) {
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this.updatePercentiles(i);
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this.lastUpdateTimestamp = currentTime;
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}
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}
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return true;
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}
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calculateRMSLevel(signal, channelIndex) {
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const data = new Float32Array(signal.length);
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signal.copyFromChannel(data, 0);
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const sum = data.reduce((acc, val) => acc + val * val, 0);
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const rmsLevel = Math.sqrt(sum / data.length);
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const dBLevel = 20 * Math.log10(rmsLevel); // Convert to dB
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return dBLevel;
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}
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updatePercentiles(channelIndex) {
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for (let i = 0; i < this.centerFrequencies.length; i++) {
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const analyzer = this.analyzers[i][channelIndex];
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const levelData = new Float32Array(analyzer.frequencyBinCount);
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analyzer.getFloatFrequencyData(levelData);
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// Calculate percentiles for each octave band and each channel
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const percentile10 = this.calculatePercentile(levelData, 10);
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const percentile90 = this.calculatePercentile(levelData, 90);
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const percentileDiff = percentile10 - percentile90;
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// Store the percentile difference for each channel and each octave band
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// You can use suitable data structures to store these values for future comparisons
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}
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}
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calculatePercentile(data, percentile) {
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const sortedData = data.slice().sort((a, b) => a - b);
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const index = Math.floor((percentile / 100) * sortedData.length);
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return sortedData[index];
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}
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combineAndCalculate() {
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let LAF10_90_total = 0; // Initialize the total LAF10%-90%
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for (let i = 0; i < this.centerFrequencies.length; i++) {
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const micAnalyzer = this.analyzers[i][0]; // Analyzer for microphone audio (identifier 0)
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const audioFile1Analyzer = this.analyzers[i][3]; // Analyzer for audioFile1 (identifier 3)
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const audioFile2Analyzer = this.analyzers[i][4]; // Analyzer for audioFile2 (identifier 4)
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// Calculate percentiles for the microphone audio
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const micPercentile10 = this.calculatePercentile(micAnalyzer, 10);
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const micPercentile90 = this.calculatePercentile(micAnalyzer, 90);
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// Calculate percentiles for audioFile1
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const audioFile1Percentile10 = this.calculatePercentile(audioFile1Analyzer, 10);
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const audioFile1Percentile90 = this.calculatePercentile(audioFile1Analyzer, 90);
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// Calculate percentiles for audioFile2
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const audioFile2Percentile10 = this.calculatePercentile(audioFile2Analyzer, 10);
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const audioFile2Percentile90 = this.calculatePercentile(audioFile2Analyzer, 90);
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// Calculate LAF10%-90% for microphone audio, audioFile1, and audioFile2 separately
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const micLAF10_90 = micPercentile10 - micPercentile90;
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const audioFile1LAF10_90 = audioFile1Percentile10 - audioFile1Percentile90;
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const audioFile2LAF10_90 = audioFile2Percentile10 - audioFile2Percentile90;
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// Calculate combined LAF10%-90% for microphone audio, audioFile1, and audioFile2
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const combinedLAF10_90 = micLAF10_90 + audioFile1LAF10_90 + audioFile2LAF10_90;
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// Add the combined LAF10%-90% to the total
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LAF10_90_total += combinedLAF10_90;
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}
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return LAF10_90_total;
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}
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}
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registerProcessor('octave', OctaveBandProcessor);
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