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Huan Vu

2 accepted papers

2026

MISPRONUNCIATION DETECTION AND DIAGNOSIS WITHOUT MODEL TRAINING: A RETRIEVAL-BASED APPROACH

ICASSP 2026oral

Mispronunciation Detection and Diagnosis (MDD) is crucial for language learning and speech therapy. Unlike conventional methods that require scoring models or training phoneme-level models, we propose a novel training-free framework that leverages retrieval techniques with a pretrained Automatic Spe…

Cited by 0SourcePDFScholar
2025

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

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