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AnirudhLanka2002/so_ViTS_SVC_models
so_ViTS_SVC_models is a machine learning model from AnirudhLanka2002. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This repository contains a speech-to-speech model, specifically the so-vits-svc, trained to mimic the voice of Chamber, a character from the game Valorant. The model is designed for speech spoofing and voice conversio…
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From the Hugging Face model README
This repository contains a speech-to-speech model, specifically the so-vits-svc, trained to mimic the voice of Chamber, a character from the game Valorant. The model is designed for speech spoofing and voice conversion applications, offering a high level of accuracy compared to other models like the RVC model, which is faster but less precise.
The so-vits-svc model was chosen over the RVC model due to its superior accuracy, despite the latter's speed advantage. Future plans include training the model to detect and convert a variety of innovative voices, such as transforming songs into my own voice.
The so-vits-svc model is a singing voice changer that uses ViTS (Variational Inference for Text-to-Speech). This model is particularly suited for high-quality voice conversion tasks, making it ideal for applications where accuracy is crucial. Here’s a brief overview of its components and functionality: