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