Introduction
The SO-VITS-SVC project represents a cutting-edge initiative in the field of voice synthesis and conversion, specifically tailored for applications in singing voice transformation. Leveraging the capabilities of the Variational Inference with adversarial learning (VITS) models, this project offers a platform for users to convert spoken or sung audio into the voice of a different character or person.
Primarily targeted at enthusiasts in deep learning and voice synthesis, as well as researchers and hobbyists interested in voice manipulation and anime character voice generation, SO-VITS-SVC serves as a practical tool for applying theoretical knowledge in deep learning to real-world scenarios. The project enables users to experiment with various aspects of voice conversion, including timbre, pitch, and rhythm alterations.
This tutorial will talk about how to running this project using the CPU under the Mac