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20232025
most citedConPCO: Preserving Phoneme Characteristics for Automatic Pronunciation Assessment Leveraging Contrastive Ordinal Regularization

1 citations · 2 across the 9 of their papers we have counts for

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cs.CL2025

Multi-task Pretraining for Enhancing Interpretable L2 Pronunciation Assessment

Jiun-Ting Li, Bi-Cheng Yan, Yi-Cheng Wang +1

Automatic pronunciation assessment (APA) analyzes second-language (L2) learners' speech by providing fine-grained pronunciation feedback at various linguistic levels. Most existing…

cs.CL2024

An Effective Context-Balanced Adaptation Approach for Long-Tailed Speech Recognition

Yi-Cheng Wang, Li-Ting Pai, Bi-Cheng Yan +3

End-to-end (E2E) automatic speech recognition (ASR) models have become standard practice for various commercial applications. However, in real-world scenarios, the long-tailed natu…

cs.CL2024★ 1 cited

Automated Speaking Assessment of Conversation Tests with Novel Graph-based Modeling on Spoken Response Coherence

Jiun-Ting Li, Bi-Cheng Yan, Tien-Hong Lo +3

Automated speaking assessment in conversation tests (ASAC) aims to evaluate the overall speaking proficiency of an L2 (second-language) speaker in a setting where an interlocutor i…

cs.CL2024

DANCER: Entity Description Augmented Named Entity Corrector for Automatic Speech Recognition

Yi-Cheng Wang, Hsin-Wei Wang, Bi-Cheng Yan +2

End-to-end automatic speech recognition (E2E ASR) systems often suffer from mistranscription of domain-specific phrases, such as named entities, sometimes leading to catastrophic f…

cs.CL2024

An Effective Mixture-Of-Experts Approach For Code-Switching Speech Recognition Leveraging Encoder Disentanglement

Tzu-Ting Yang, Hsin-Wei Wang, Yi-Cheng Wang +2

With the massive developments of end-to-end (E2E) neural networks, recent years have witnessed unprecedented breakthroughs in automatic speech recognition (ASR). However, the codes…