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--- |
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license: mit |
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pipeline_tag: audio-to-audio |
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tags: |
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- pretrained |
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- HuBERT |
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- RVC |
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- Voice Conversion |
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--- |
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<title>Model Card for RVC-HuBERT</title> |
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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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