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README.md
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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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<style>
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body {
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font-family: Arial, sans-serif;
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background-color: #f5f5f5;
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padding: 2rem;
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}
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.container {
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max-width: 800px;
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margin: 0 auto;
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background-color: white;
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padding: 2rem;
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border-radius: 5px;
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box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1);
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text-align: center;
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}
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h1 {
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color: #333;
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margin-bottom: 1.5rem;
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}
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h2 {
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color: #555;
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margin-bottom: 1rem;
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ul {
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list-style: none;
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padding: 0;
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margin: 0;
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}
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ul li {
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margin-bottom: 0.5rem;
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}
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p {
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color: #666;
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margin-bottom: 1.5rem;
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}
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</style>
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<title>Model Card for RVC-HuBERT</title>
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</head>
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<body>
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<div class="container">
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<h1>Model Card for RVC-HuBERT</h1>
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<p>Welcome to our comprehensive repository, a treasure trove of pretrained models, HuBERT models, and an assortment of other files and models, all tailored for use in the Retrieval-based Voice Conversion (RVC) neural network.</p>
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<h2>Overview</h2>
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<p>This repository is designed to be a one-stop-shop for all your RVC needs. It hosts a wide array of pretrained models, meticulously crafted to provide a robust foundation for your voice conversion tasks. The repository also includes a diverse range of HuBERT models, known for their proficiency in self-supervised speech representation learning.</p>
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<h2>Key Features</h2>
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<ul>
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<li><strong>Pretrained Models:</strong> A vast collection of pretrained models, ready to be fine-tuned for your specific voice conversion tasks. These models have been trained on diverse datasets, ensuring a broad spectrum of voice characteristics.</li>
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<li><strong>HuBERT Models:</strong> A selection of HuBERT models, recognized for their ability to learn high-quality speech representations from raw audio data. These models are ideal for tasks that require a deep understanding of speech nuances.</li>
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<li><strong>Additional Files and Models:</strong> A miscellaneous collection of files and models that can be beneficial for various aspects of voice conversion, from data preprocessing to model evaluation.</li>
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</ul>
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<p>We invite you to explore this repository, leverage its resources, and contribute to the advancement of voice conversion technology. Whether you're a seasoned researcher or a budding enthusiast, we believe you'll find something of value here.</p>
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<p>Happy exploring, and let's shape the future of voice conversion together!</p>
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</div>
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</body>
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</html>
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