2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CL2026
Domain-Aware Mispronunciation Detection and Diagnosis Using Language-Specific Statistical Graphs
Huu Tuong Tu, Hanh Nguyen, Thien Van Luong +3
Mispronunciation Detection and Diagnosis (MDD) has gained increasing importance in computer-assisted language learning and speech technology in recent years. In this paper, we prop…
cs.CL2025★ 2 cited
Mispronunciation Detection and Diagnosis Without Model Training: A Retrieval-Based Approach
Huu Tuong Tu, Ha Viet Khanh, Tran Tien Dat +4
Mispronunciation Detection and Diagnosis (MDD) is crucial for language learning and speech therapy. Unlike conventional methods that require scoring models or training phoneme-leve…
cs.SD2025
O_O-VC: Synthetic Data-Driven One-to-One Alignment for Any-to-Any Voice Conversion
Huu Tuong Tu, Huan Vu, cuong tien nguyen +2
Traditional voice conversion (VC) methods typically attempt to separate speaker identity and linguistic information into distinct representations, which are then combined to recons…