Papers by Huan Vu
O_O-VC: Synthetic Data-Driven One-to-One Alignment for Any-to-Any Voice Conversion (2025.findings-emnlp)
Copied to clipboard
| Challenge: | Traditional voice conversion methods attempt to separate speaker identity and linguistic information into distinct representations, but this method often leads to information loss during training. |
| Approach: | They propose a method that leverages synthetic speech data generated by a pretrained model . synthetic data pairs that share the same linguistic content are used as input-output pairs . |
| Outcome: | The proposed method outperforms state-of-the-art methods in speaker-to-voice conversions. |