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Browse files- index.html +127 -60
index.html
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<!DOCTYPE html>
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<html>
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<head>
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<
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</head>
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<body>
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<h1>
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<
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<select id="voiceSelect"></select>
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<div id="lyrics"></div>
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<div id="melody"></div>
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<div id="rhythm"></div>
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<script>
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const
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const
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//
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}
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//
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function
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return { melody, tempo };
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}
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//
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function
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const
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}
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//
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function
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}
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//
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function
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voiceSelect.add(option);
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});
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}
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</body>
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</html>
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Evolving Vocaloid</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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background-color: #f0f0f0;
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text-align: center;
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padding: 20px;
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}
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#output {
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font-size: 24px;
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margin-top: 20px;
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}
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</style>
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</head>
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<body>
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<h1>Evolving Vocaloid</h1>
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<div id="output"></div>
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<script>
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// WebSpeech API configuration
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const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
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const recognition = new SpeechRecognition();
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recognition.continuous = true;
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recognition.interimResults = true;
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// Genetic algorithm configuration
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const populationSize = 50;
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const mutationRate = 0.1;
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const crossoverRate = 0.7;
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let population = [];
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// Initialize the population
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for (let i = 0; i < populationSize; i++) {
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population.push(generateRandomSong());
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}
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// Evaluate the fitness of each song
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function evaluateFitness(song) {
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// Implement your fitness function here
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// This could include factors like catchiness, hook presence, and overall structure
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return Math.random() * 100;
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}
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// Evolve the population
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function evolvePopulation() {
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const newPopulation = [];
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// Select parents and perform crossover
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for (let i = 0; i < populationSize; i++) {
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const parent1 = selectParent();
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const parent2 = selectParent();
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const child = crossover(parent1, parent2);
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newPopulation.push(child);
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}
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// Mutate the new population
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for (let i = 0; i < newPopulation.length; i++) {
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if (Math.random() < mutationRate) {
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newPopulation[i] = mutate(newPopulation[i]);
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}
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}
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population = newPopulation;
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}
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// Select a parent from the population based on fitness
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function selectParent() {
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let totalFitness = 0;
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for (let i = 0; i < population.length; i++) {
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totalFitness += evaluateFitness(population[i]);
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}
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let randomFitness = Math.random() * totalFitness;
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let cumulativeFitness = 0;
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for (let i = 0; i < population.length; i++) {
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cumulativeFitness += evaluateFitness(population[i]);
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if (cumulativeFitness >= randomFitness) {
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return population[i];
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}
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}
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return population[population.length - 1];
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}
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// Perform crossover between two parents
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function crossover(parent1, parent2) {
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// Implement your crossover logic here
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// This could include combining different parts of the songs, such as hooks, verses, and choruses
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return {
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// Return the child song
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};
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}
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// Mutate a song
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function mutate(song) {
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// Implement your mutation logic here
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// This could include changing the melody, rhythm, or lyrics of the song
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return {
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// Return the mutated song
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};
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}
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// Generate a random song
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function generateRandomSong() {
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// Implement your song generation logic here
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// This could include creating random melodies
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// Main loop
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function mainLoop() {
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// Evolve the population
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evolvePopulation();
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// Select the best song from the population
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let bestSong = population[0];
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for (let i = 1; i < population.length; i++) {
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if (evaluateFitness(population[i]) > evaluateFitness(bestSong)) {
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bestSong = population[i];
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}
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}
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// Synthesize the best song using WebSpeech API
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let text = generateSongText(bestSong);
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let utterance = new SpeechSynthesisUtterance(text);
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utterance.lang = 'en-US';
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speechSynthesis.speak(utterance);
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// Display the song text
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document.getElementById('output').textContent = text;
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// Repeat the loop
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requestAnimationFrame(mainLoop);
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}
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// Generate the song text from the song data
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function generateSongText(song) {
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// Implement your song text generation logic here
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// This could include combining the different parts of the song, such as hooks, verses, and choruses
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return 'This is a sample song text.';
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}
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// Start the main loop
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mainLoop();
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