School of Behavioral and Brain Sciences

Jun Wang

Assistant Professor

Research Interests

Motor speech disorders, silent and dysarthric speech recognition, computational neuroscience for speech production

Curriculum Vitae

Contact

Email: [email protected]
Phone: 972-883-6821
Office: BSB_13.302
Campus Mail Code: BSB11
Website: Speech Disorders & Technology Lab

Biography

Dr. Jun Wang’s research includes silent and dysarthric speech recognition, motor speech disorders due to amyotrophic lateral sclerosis (ALS), and neuroscience for speech production. His work focuses on tongue motion or brain activity patterns during speech production using quantitative and computational approaches (e.g., machine learning). Dr. Wang has identified an optimal set of flesh points on tongue and lips for speech motor control studies and developed the first cross-speaker normalization approaches for speaker-independent silent speech recognition. Dr. Wang has received an NIH R03 grant, an UT System seed grant for brain research, and a New Century Scholar Award from the American Speech-Language-Hearing Foundation. He also has been a co-investigator on an NIH R01 grant and an NIH SBIR grant. Dr. Wang earned his bachelor’s degree from China University of Geosciences (Wuhan), master’s degree from Beijing Institute of Technology, China, and PhD from the University of Nebraska — Lincoln.

Recent and Selected Representative Publications

Recent Articles in Peer-Refereed Journals

Balasubramanian, A., Wang, J., Balakrishnan, P. (In press). Discovering multidimensional motifs in physiological signals for personalized healthcare, IEEE Journal of Selected Topics in Signal Processing.

Shokoohi-Yekta, M., Hu, B., Jin, H., Wang, J., Keogh E. (In Press). Generalizing dynamic time warping to the multi-dimensional case requires an adaptive approach, Data Mining and Knowledge Discovery.

Wang, J., Samal, A., Rong, P., & Green, J. R. (2016). An optimal set of flesh points on tongue and lips for speech movement classification, Journal of Speech, Language, and Hearing Research, 59,15-26.

Rong, P., Yunusova, Y., Wang, J., Zinman, L., Pattee, G. L., Berry, J. D., Perry, B., & Green, J. R. (In press). Predicting speech intelligibility decline in amyotrophic lateral sclerosis based on the deterioration of individual speech subsystems, PLOS ONE.