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Yung-Chang Hsu

3 accepted papers

2024

An Effective Pronunciation Assessment Approach Leveraging Hierarchical Transformers and Pre-training Strategies

ACL 2024long

Automatic pronunciation assessment (APA) manages to quantify a second language (L2) learner’s pronunciation proficiency in a target language by providing fine-grained feedback with multiple pronunciation aspect scores at various linguistic levels. Most existing efforts on APA typically parallelize t…

2024

Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks

ICLR 2024poster

Theoretical and empirical comparisons have been made to assess the expressive power and performance of invariant and equivariant GNNs. However, there is currently no theoretical result comparing the expressive power of $k$-hop invariant GNNs and equivariant GNNs. Additionally, little is understood a…

Cited by 7SourcePDFScholar
2022

Exploring Non-Autoregressive End-to-End Neural Modeling for English Mispronunciation Detection and Diagnosis

ICASSP 2022accepted

End-to-end (E2E) neural modeling has emerged as one predominant school of thought to develop computer-assisted pronunciation training (CAPT) systems, showing competitive performance to conventional pronunciation-scoring based methods. However, current E2E neural methods for CAPT are faced with at le…

Cited by 0SourceScholar