The University of Texas at Dallas 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


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


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’s recent studies showed the possibility of automatically detecting the presence of ALS from speech information and of decoding speech production from non-invasive neural (MEG) signals. 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 has been a co-investigator on several NIH R01 grants 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, United States.

Recent and Selected Representative Publications

Recent Articles in Peer-Refereed Journals

Wang, J., Kothalkar, P., Kim, M., Bandini, A., Cao, B., Yunusova, Y., Campbell, T. F., Heitzman, D., & Green, J. R. (In press). Automatic speech severity estimation for individuals with ALS from speech acoustic and articulatory samples, International Journal of Speech-Language Pathology.

Kim, M., Sebkhi, N., Cao, B., Ghovanloo, M., & Wang, J. (2018). Preliminary test of a wireless magnetic tongue tracking system for silent speech interface. Proc. IEEE Biomedical Circuits and Systems Conference (Accepted).

Dash, D., Ferrari, P. Malik, S., Montillo, A., Maldjian, J., & Wang, J. (2018). Determining the optimal number of MEG trials: A machine learning and speech decoding perspective, Proc. International Conference on Brain Informatics (Accepted).

An, K., Kim, M., Teplansky, K. J., Green, J., Campbell, T., Yanusova, Y., Heitzman, D., & Wang, J. (2018). Automatic early detection of amyotrophic lateral sclerosis from intelligible speech using convolutional neural networks, Proc. Interspeech, 1913-1917.

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