RVC_resources / README.md
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---
license: mit
pipeline_tag: audio-to-audio
tags:
- pretrained
- hubert
- RVC
- ai
- vits
- vc
- voice-cloning
- voice-conversion
- Voice2Voice
---
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<h1>Voice Conversion Models Hub</h1>
<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>Content</h2>
<ul>
<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>
<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>
<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>
</ul>
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<h2>Note</h2>
<p>Dear friends, I am in need of your assistance in finding new models such as HuBERT, pre-train, and others. Additionally, I need help with the existing files as I sometimes am unsure of their real names and end up naming them as indicated in other repositories, which may be different from the original. If you have any links to appropriate models, please leave them in the <strong>"Community"</strong> tab. You can also upload models and make changes to file or folder names through the <strong>"Contribute"</strong> section. I will be extremely grateful for any help you can provide.</p>
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<h2>Links</h2>
<ul>
<li><a href="https://huggingface.co/MUSTAR" target="_blank"><strong>Snowie and RIN_E3</strong> - taken from MUSTAR</a></li>
<li><a href="https://huggingface.co/ORVC/Ov2Super" target="_blank"><strong>Ov2Super</strong> - taken from ORVC</a></li>
<li><a href="https://huggingface.co/blaise-tk/TITAN" target="_blank"><strong>TITAN</strong> - taken from blaise-tk</a></li>
<li><a href="https://huggingface.co/TheStinger/itaila" target="_blank"><strong>itaila</strong> - taken from TheStinger</a></li>
<li><a href="https://huggingface.co/SeoulStreamingStation" target="_blank"><strong>KLMv7s</strong> - taken from SeoulStreamingStation</a></li>
<li><a href="https://huggingface.co/Sztef/SingerPreTrained" target="_blank"><strong>SingerPretrain</strong> - taken from Sztef</a></li>
<li><a href="https://huggingface.co/Razer112/DMR_Pretrain" target="_blank"><strong>DMR</strong> - taken from Razer112</a></li>
<li><a href="https://huggingface.co/Plasmati/Pretrains" target="_blank"><strong>UKR and UKA</strong> - taken from Plasmati</a></li>
<li><a href="https://huggingface.co/Loren85/IMA-TEST-V1" target="_blank"><strong>IMA_Robotic</strong> - taken from Loren85</a></li>
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