Huu Tuong Tu — accepted AI-conference papers

2025

O_O-VC: Synthetic Data-Driven One-to-One Alignment for Any-to-Any Voice Conversion

Huu Tuong Tu, Huan Vu, Cuong Tien Nguyen, Dien Hy Ngo, Nguyen Thi Thu Trang

EMNLP 2025

Traditional voice conversion (VC) methods typically attempt to separate speaker identity and linguistic information into distinct representations, which are then combined to reconstruct the audio. However, effectively disentangling these factors remains challenging, often leading to information loss

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2025

Voice Conversion for Low-Resource Languages via Knowledge Transfer and Domain-Adversarial Training

Huu Tuong Tu, Luong Thanh Long, Vu Huan, Nguyen Thi Phuong Thao, Nguyen Van Thang, Nguyen Tien Cuong +1

ICASSP 2025accepted

Voice conversion (VC) aims to transform speech from a source speaker to a target speaker while preserving the original linguistic content. However, existing VC models typically require large annotated datasets containing transcripts and speaker labels, posing significant challenges for low-resource…

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