seed-vc is an AI voice conversion tool and voice cloning system designed to transform the timbre, accent, and emotion of speech recordings. It provides a framework for replicating specific speaker identities and singing styles using short reference audio samples.
The project includes a voice fine-tuning framework for training models on custom audio datasets to increase the accuracy of voice clones. It also features speech anonymization tools that remove unique speaker traits to produce a generic average voice for identity protection.
The system covers a broad range of audio processing capabilities, including zero-shot voice conversion, talking pace control, and the modification of emotional delivery and accents. It supports both spoken speech and singing voice conversion to transfer styles between source and target recordings.
