dis-Vector-Embedding
PublicThe Dis-Vector project enhances voice conversion and synthesis through disentangled embeddings, allowing for high-quality, zero-shot voice cloning across multiple languages. This model leverages separate encoders for content, pitch, rhythm, and timbre, enabling precise control over synthesized voice characteristics.