Academic Staff
- HHB 701, Hung Hom Bay Campus
- +852 2766 7698
- si-ioi.ng@polyu.edu.hk
- Personal Website
ORCID IDBiography
Si-ioi Ng is a Research Assistant Professor in the Department of Language Science and Technology at the Hong Kong Polytechnic University. He received his B. Eng and Ph. D both in Electronic Engineering at The Chinese University of Hong Kong in 2018 and 2023 respectively. He was a postdoctoral scholar (and currently an Adjunct Faculty) in the College of Health Solutions at Arizona State University, Tempe, USA. He is specialised in combining spoken language processing, clinical speech science and artificial intelligence to develop resource and tools for various speech-based clinical applications. He co-organized Tutorial on responsible development and translation of clinical speech analytics at Interspeech 2024. He has also served as a Tutorial Co-Chair of ISCSLP 2026.
Education and Academic Qualifications
- Ph. D in Electronic Engineering, The Chinese University of Hong Kong (2023)
- B. Eng in Electronic Engineering, The Chinese University of Hong Kong (2018)
Academic and Professional Experience
- 2026 Mar – Present
Research Assistant Professor, Department of Language Science and Technology, Hong Kong Polytechnic University - 2026 Mar – Present
Adjunct Faculty, College of Health Solutions, Arizona State University, Tempe, AZ, USA. - 2023 Nov – 2026 Mar
Postdoctoral Scholar, College of Health Solutions, Arizona State University, Tempe, AZ, USA.
Teaching Areas
- Speech and Audio Signal Processing
- Machine Learning
- Artificial Intelligence
Research Interests
Selected Publications
- Ng, S.-I., Xu, L., Siegert, I., Cummins, N., Benway, N. R., Liss, J., & Berisha, V. (2026). An end-to-end overview of clinical speech AI. IEEE Transactions on Audio, Speech and Language Processing, 34, 1016–1048. https://doi.org/10.1109/TASLPRO.2026.3660470
- Ng, S.-I., Ambadi, P. S., Mueller, K. D., Liss, J., & Berisha, V. (2025). Automated extraction of spatio-semantic graphs for identifying cognitive impairment. Proc. ICASSP, 1-5. https://doi.org/10.1109/ICASSP49660.2025.10890726
- Ng, S.-I., Ng, C. W.-Y., Wang, J., & Lee, T. (2024). Automatic detection of speech sound disorder in Cantonese-speaking pre-school children. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 32, 4355–4368. https://doi.org/10.1109/TASLP.2024.3463503
- Ng, S.-I., Ng, C.W.-Y., Wang, J., Lee, T., Lee, K.Y.-S., Tong, M.C.-F. (2020) CUCHILD: A Large-Scale Cantonese Corpus of Child Speech for Phonology and Articulation Assessment. Proc. Interspeech 2020, 424-428. https://doi.org/10.21437/interspeech.2020-2148
- Member – International Speech Communication Association (ISCA)
