@inproceedings{tu-etal-2025-o,
    title = "{O}{\_}{O}-{VC}: Synthetic Data-Driven One-to-One Alignment for Any-to-Any Voice Conversion",
    author = "Tu, Huu Tuong  and
      Vu, Huan  and
      Nguyen, Cuong Tien  and
      Ngo, Dien Hy  and
      Trang, Nguyen Thi Thu",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.findings-emnlp.879/",
    pages = "16197--16208",
    ISBN = "979-8-89176-335-7"
}