This repository contains a Retrieval-based Voice Conversion (RVC) model trained on a dataset of Persian singers. The model aims to convert speech from one voice to another, allowing for the creation of new vocal performances or the transformation of existing recordings.
The RVC model in this repository was trained using the
Retrieval-based Voice Conversion (RVC) framework. It leverages a retrieval-based approach to voice conversion, where the model learns to match the target voice by retrieving and combining relevant speech segments from the training data.
The model was trained on a dataset of Persian singers, which includes a diverse range of vocal styles and techniques. By capturing the characteristics and nuances of these singers, the model can generate convincing voice conversions that maintain the linguistic content while adopting the target singer's voice.
