Ph.D Thesis
S. -I. Ng, “Automatic Detection of Speech Sound Disorder in Cantonese-speaking Pre-School Children,” The Chinese University of Hong Kong, 2023.
S. -I. Ng, L. Xu, I. Siegert, N. Cummins, N. R. Benway, J. Liss and V. Berisha, “An End-to-End Overview of Clinical Speech AI”, IEEE Transactions on Audio, Speech and Language Processing, vol. 34, pp. 1016-1048, 2026 (Overview Paper).
S. -I. Ng, C. W. -Y. Ng, J. Wang and T. Lee, “Automatic Detection of Speech Sound Disorder in Cantonese-speaking Pre-School Children,” in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32, pp. 4355-4368, 2024.
S. -I. Ng, C. W. -Y. Ng and T. Lee, “A Study on Using Duration and Formant Features in Automatic Detection of Speech Sound Disorder in Children,” in Proc. Interspeech, 2023, pp. 4643–4647.
S. -I. Ng, C. W. -Y. Ng, J. Wang and T. Lee, “Automatic Detection of Speech Sound Disorder in Child Speech Using Posterior-based Speaker Representations,” in Proc. Interspeech, 2022, pp. 2853–2857.
S. -I. Ng, C. W. -Y. Ng, J. Li and T. Lee, “Detection of Consonant Errors in Disordered Speech Based on Consonant-Vowel Segment Embedding,” in Proc. Interspeech, 2021, pp. 2931–2935.
S. -I. Ng and T. Lee, “Automatic Detection of Phonological Errors in Child Speech Using Siamese Recurrent Autoencoder,” in Proc. Interspeech, 2020, pp. 4476–4480. (Best Student Paper Award Finalist)
S. -I. Ng*, C. W. -Y. Ng*, J. Wang, T. Lee, K. Y. -S. Lee and M. C. -F. Tong “CUCHILD: A Large-Scale Cantonese Corpus of Child Speech for Phonology and Articulation Assessment,” in Proc. Interspeech, 2020, pp. 424–428. (*Co-First Author)
J. Wang, S. -I. Ng, D. Tao, C. W. -Y. Ng and T. Lee, “A study on acoustic modeling for child speech based on multi-task learning,” in Proc. International Symposium on Chinese Spoken Language Processing (ISCSLP), 2018, pp. 389–393.
Speech AI for assessing neurodegenerative disease
S. -I. Ng, P. S. Ambadi, P. Kadambi, K. D. Mueller, J. Liss and V. Berisha, “Characterizing Maximum Achievable Performance in Clinical Speech AI" (Under Preparation)
S. -I. Ng, P. S. Ambadi, K. D. Mueller, J. Liss and V. Berisha, “Automated Extraction of Spatio-Semantic Graphs for Identifying Cognitive Impairment,” Proc. ICASSP, 2025, pp. 1-5.
S. -I. Ng, L. Xu, K. D. Muller, J. Liss and V. Berisha, “Segmental and Suprasegmental Speech Foundation Models for Classifying Cognitive Risk Factors: Evaluating Out-of-the-Box Performance”, Proc. Interspeech, 2024, pp. 917-921.
Speech production under physical stress
S. -I. Ng, R. Ma, T. Lee and R. K. -W. Sum, “Acoustical Analysis of Speech Under Physical Stress in Relation to Physical Activities and Physical Literacy,” in Proc. Speech Prosody, 2022, pp. 200–204.
R. Ma, S. -I. Ng, T. Lee, Y. J. Yang, and R. K. -W. Sum, "Validation of A Speech Database for Assessing College Students' Physical Competence under The Concept of Physical Literacy," in International Journal of Environmental Research and Public Health, 19(12), 7046, 2022.
Speaker Verification
J. Li, S. -I. Ng and T. Lee, “Improving Text-Independent Speaker Verification with Auxiliary Speakers Using Graph,” Proc. Automatic Speech Recognition and Understanding Workshop (ASRU), 2021, pp. 198-205.