Jiun-Ting Li

According to our database, Jiun-Ting Li authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Multi-task Pretraining for Enhancing Interpretable L2 Pronunciation Assessment.

Jiun-Ting Li, Bi-Cheng Yan, Yi-Cheng Wang, Berlin Chen

CoRR, September, 2025

ConPCO: Preserving Phoneme Characteristics For Automatic Pronunciation Assessment Leveraging Contrastive Ordinal Regularization.

Bi-Cheng Yan, Yi-Cheng Wang, Jiun-Ting Li, Meng-Shin Lin, Hsin-Wei Wang, Wei-Cheng Chao, Berlin Chen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

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

Jiun-Ting Li, Bi-Cheng Yan, Tien-Hong Lo, Yi-Cheng Wang, Yung-Chang Hsu, Berlin Chen

Proceedings of the IEEE Spoken Language Technology Workshop, 2024

EZTalking: English assessment platform for teachers and students.

Yu-Sheng Tsao, Yung-Chang Hsu, Jiun-Ting Li, Siang-Hong Weng, Tien-Hong Lo, Berlin Chen

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

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

Bi-Cheng Yan, Jiun-Ting Li, Yi-Cheng Wang, Hsin-Wei Wang, Tien-Hong Lo, Yung-Chang Hsu, Wei-Cheng Chao, Berlin Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Graph-Enhanced Transformer Architecture with Novel Use of CEFR Vocabulary Profile and Filled Pauses in Automated Speaking Assessment.

Jiun-Ting Li, Tien-Hong Lo, Bi-Cheng Yan, Yung-Chang Hsu, Berlin Chen

Proceedings of the 9th Workshop on Speech and Language Technology in Education, 2023

Preserving Phonemic Distinctions For Ordinal Regression: A Novel Loss Function For Automatic Pronunciation Assessment.

Bi-Cheng Yan, Hsin-Wei Wang, Yi-Cheng Wang, Jiun-Ting Li, Chi-Han Lin, Berlin Chen

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2021

A Preliminary Study on Environmental Sound Classification Leveraging Large-Scale Pretrained Model and Semi-Supervised Learning.

You-Sheng Tsao, Tien-Hong Lo, Jiun-Ting Li, Shi-Yan Weng, Berlin Chen

Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing, 2021