Fu-An Chao

I am an Associate Research Engineer at Research Center for Psychological and Educational Testing (RCPET) in National Taiwan Normal University (NTNU), working on Computer-assisted Language Learning (CALL) research. Currently, I have a special focus on fine-grained Automatic Pronunciation Assessment (APA).

Previously, I was a graduate student in the Computer Science and Information Engineering Department at National Taiwan Normal University, co-advised by Berlin Chen and Jeih-weih Hung. My graduate research focused on developing algorithms for Speech Enhancement (SE) and their applications to noise-robust Automatic Speech Recognition (ASR).

If you have questions or would like to work together, feel free to reach out through email!

news

Mar 13, 2024	One paper accepted to NAACL 2024
Dec 28, 2023	Project release - L2 Speech Synthesizer
Dec 17, 2023	I launched my website!

selected publications

NAACL

An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution

Tien-Hong Lo, Fu-An Chao, Tzu-I Wu, and 2 more authors

In Findings of Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024

Bib PDF

@inproceedings{lo2024effective,
  title = {An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution},
  author = {Lo, Tien-Hong and Chao, Fu-An and Wu, Tzu-I and Sung, Yao-Ting and Chen, Berlin},
  booktitle = {Findings of Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)},
  year = {2024},
}

Interspeech

A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment

Fu-An Chao, Tien-Hong Lo, Tzu-I Wu, and 2 more authors

In Proc. INTERSPEECH, 2023

Bib PDF

@inproceedings{chao23_interspeech,
  author = {Chao, Fu-An and Lo, Tien-Hong and Wu, Tzu-I and Sung, Yao-Ting and Chen, Berlin},
  title = {{A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment}},
  year = {2023},
  booktitle = {Proc. INTERSPEECH},
  pages = {974--978},
  doi = {10.21437/Interspeech.2023-550},
}

APSIPA ASC

3m: An effective multi-view, multi-granularity, and multi-aspect modeling approach to english pronunciation assessment

Fu-An Chao, Tien-Hong Lo, Tzu-I Wu, and 2 more authors

In Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022

Bib PDF

@inproceedings{chao20223m,
  title = {3m: An effective multi-view, multi-granularity, and multi-aspect modeling approach to english pronunciation assessment},
  author = {Chao, Fu-An and Lo, Tien-Hong and Wu, Tzu-I and Sung, Yao-Ting and Chen, Berlin},
  booktitle = {Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)},
  pages = {575--582},
  year = {2022},
  organization = {IEEE},
}