Updated on January, 2017.  This page displays better in Chrome or Safari browser. 


Jun Wang, Ph.D.

Assistant Professor
Dept. of Bioengineering, Erik Jonsson School of Engineering and Computer Science
Callier Center for Communication Disorders, School of Behavioral and Brain Sciences
University of Texas at Dallas

Office:  BSB 13.302
           
800 W Campbell Rd.
            Richardson, TX 75080
Phone: (972)883-6821
Email: wangjun AT utdallas.edu (replace ' AT ' with '@')

Jun
                        Wang in EMA AG501.

Adjunct Assistant Professor
Dept. of Electrical and Computer Engineering, University of Texas at Dallas
Dept. of Surgery, University of Texas Southwestern Medical Center


Director, Speech Disorders & Technology Lab



Research

Silent speech recognition / interface, dysarthric speech
recognition and analysis
Motor speech disorders (e.g., due to amyotrophic lateral sclerosis or ALS)
Computational neuroscience/tech for speech disorders

Tongue motion tracking devices
NDI Wave Speech Research System,  Carstens Electromagnetic Articulograph (EMA) AG501
* A quick tutorial on how to glue sensors to the tongue

 More research and demos ...


What's New

My lab at UTD moved into the brand new BSB building in Feb 2016.

I received a NIH/NIDCD R03 grant (DC013990, $459K, 2015-2018) to support the silent speech project.

I received a 2015 ASHFoundation New Century Scholar Research Grant ($25K, 2015-2017) to support the silent speech project.
 
I received a seed grant from the University of Texas System Brain Initiative (UT Brain) to support the neuroscience (MEG) project ($100K, 2015-2017).

I started serving as a Co-Investigator (sub-contract co-PI) on a NIH/NIDCD R01 grant to support the ALS project (DC013547, $2.97M, 2013-2018,
PI: Green).



Recent Publications

Katz, W., Mehta, S., Wood, M., & Wang, J. (In press). Using electromagnetic articulography with a tongue lateral sensor to discriminate manner of articulation, The Journal of Acoustic Society of America Express Letters.

Kim, M., Kim, Y.,
Wang, J., & Kim, H. (In press). Regularized speaker adaptation of KL-HMM for dysarthric speech recognition, IEEE Transactions on Neural Systems & Rehabilitation Engineering.

Wang, J.
, Kim, M., Hernandez-Mulero, A. H., Heitzman, D., & Ferrari, P. (2017). Towards decoding speech production from single-trial Magnetoencephalography (MEG) signals, IEEE International Conference on Acoustics, Speech and Signal Processing, 3036-3040.

Shokoohi-Yekta, M., Hu, B., Jin, H., Wang, J., Keogh E. (2017). Generalizing dynamic time warping to the multi-dimensional case requires an adaptive approach, Data Mining and Knowledge Discovery, 31(1), 1-31.

Wang, J.
, Kothalkar, P., Kim, M., Yunusova, Y., Campbell, T., Heitzman, D., & Green, J. R. (2016). Predicting intelligible speaking rate of individuals with amyotrophic lateral sclerosis from a small number of speech acoustic and articulatory samples, ACL/ISCA Workshop on Speech and Language Processing for Assistive Technologies, 91-97.

Cao, B., Kim, M., Mau T., & Wang, J. (2016). Recognizing whispered speech produced by an individual with surgically reconstructed larynx using articulatory movement data, ACL/ISCA Workshop on Speech and Language Processing for Assistive Technologies, 80-86.


Wang, J., Kothalkar, P. V., Cao, B., Heitzman, D. (2016). Towards automatic detection of amyotrophic lateral sclerosis from speech acoustic and articulatory samples, Interspeech, 1195-1199.

Rong, P., Yunusova, Y., Wang, J., Zinman, L., Pattee, G. L.,  Berry, J. D., Perry, B.,  & Green, J. R. (2016).  Predicting speech intelligibility decline in amyotrophic lateral sclerosis based on the deterioration of individual speech subsystems, PLOS ONE, 11(5): e0154971, 1-19.


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.



   More publications and presentations ...
 


Upcoming or Recent Conferences

The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, LA, Mar, 2017
The 27th International Symposium on ALS/MND, Dublin, Ireland, Dec 7-9, 2016
The ASHA Annual Convention, Philadelphia, PA, Nov 17 - 19, 2016
Interspeech, San Francisco, CA,
Sep 8 - 12, 2016
Workshop on Speech and Language Processing for Assistive Technologies,  San Francisco, CA, Sep 13, 2016
The Annual Meeting of the International Association of Larygnectomees, Dallas, TX, Jun 23-26, 2016




Teaching

Fall 2015, 2016, BMEN 3325 - Advanced Matlab Programming for Biomedical Engineering



Honors and Awards

American Speech-Language-Hearing Foundation New Century Scholar Award, 2015
Selected Participation, Lessons for Success Workshop, American Speech-Language-Hearing Association, 2013
International Travel Award, College of Education and Human Sciences, University of Nebraska - Lincoln, 2011
Research Mentoring Pair Travel Award, American Speech-Language-Hearing Association, 2009
Dohrmann Fellowship, Dept. of Computer Science & Engineering,
University of Nebraska - Lincoln, 2006-07


Professional Memberships and Services

Member, American Speech-Language-Hearing Association (ASHA)
Member, International Speech Communication Association (ISCA)
Member, Institute of Electrical and Electronics Engineers (IEEE)
Member, Association for Computational Linguistics (ACL)

Ad hoc reviewer:
Journal of Speech, Language, and Hearing Research (JSLHR); Speech Communication; 
Sensors; ACM Transactions on Accessible Computing (TACCESS); Computer Speech and Language; American Journal of Speech-Language Pathology (AJSLP); IEEE Journal of Biomedical and Health Informatics



Acknowlodgements

The research in my lab has been supported by the following sponsors.








 













demo_files
demo.html
gluing-tongue-sensors.html
index_files
index.html
openings.html
optispeech-demo.html
paper
pictures
research_files
research.html
SDTL
ssi-demo.html
ssi-demo2.