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Jiun-Ting Li

Observed name: Li, Jiun-Ting
OpenAlex ID: A5035426420
An Effective Pronunciation Assessment Approach Leveraging Hierarchical Transformers and Pre-training Strategies
2024 · Bi-Cheng Yan, Jiun-Ting Li, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 11
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Preserving Phonemic Distinctions For Ordinal Regression: A Novel Loss Function For Automatic Pronunciation Assessment
2023 · Bi-Cheng Yan, Hsin-Wei Wang, et al. · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · 8
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ConPCO: Preserving Phoneme Characteristics For Automatic Pronunciation Assessment Leveraging Contrastive Ordinal Regularization
2025 · Bi-Cheng Yan, Yi-Cheng Wang, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 4
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Automated Speaking Assessment of Conversation Tests with Novel Graph-Based Modeling on Spoken Response Coherence
2024 · Jiun-Ting Li, Bi-Cheng Yan, et al. · IEEE Spoken Language Technology Workshop (SLT) · 1
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Subphonetic Acoustic Modeling via Optimal Transport for Pronunciation Assessment
2026 · Geng, Haopeng, Li, Jiun-Ting, et al. · arXiv (Cornell University)
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Investigating Context-aware CTC for Pronunciation Assessment: Mitigating Peaky Behavior and Context Independency Assumption
2026 · Association for Computational Linguistics 2026, Chao, Fu-An, et al. · Underline Science Inc.
RABIT: Rationale-Based Distillation Towards Interpretable Automatic Speaking Assessment via a Small Language Model
2026 · Association for Computational Linguistics 2026, Chao, Fu-An, et al. · Underline Science Inc.
Investigating Context-aware CTC for Pronunciation Assessment: Mitigating Peaky Behavior and Context Independency Assumption
2026 · Jiun-Ting Li, Tien-Hong Lo, et al. · Workshop on Innovative Use of NLP for Building Educational Applications
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RABIT: Rationale-Based Distillation Towards Interpretable Automatic Speaking Assessment via a Small Language Model
2026 · Bi-Cheng Yan, Hong-Yun Lin, et al. · Workshop on Innovative Use of NLP for Building Educational Applications
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Multi-Task Pretraining for Enhancing Interpretable L2 Pronunciation Assessment
2025 · Jiun-Ting Li, Bi-Cheng Yan, et al. · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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A Preliminary Study on Environmental Sound Classification Leveraging Large-Scale Pretrained Model and Semi-Supervised Learning.
2021 · You-Sheng Tsao, Tien-Hong Lo, et al. · International Conference on Computational Linguistics
Works count: 11
Citation count: 24
H-index: 3
I10-index: 1
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