• Director: Jun Wang, PhD
  • Locations: CMB1 & HDB5
  • 512-471-6831
  • jun.wang@austin.utexas.edu
Wang Home pic

Speech Disorders and Technology Lab: Home

About the Lab


Led by Dr. Jun Wang, Associate Professor in the Department of Speech, Language, and Hearing Sciences, Moody College of Communication and in the Department of Neurology, Dell Medical School,  the Speech Disorders & Technology Lab (SDTL) is dedicated to develop assistive speech technologies including silent speech interface (SSI) and speech-driven brain-computer interface (BCI), as well as to conduct basic science research on neurogenic motor speech disorders and underling neurological mechanisms for speech communication. Advanced computing techniques (e.g., machine learning) are heavily used in these projects. The lab is located at CMB1 in Moody College and HDB5 in Dell Medical Shool.


What's New?


  • Lab alumnus Dr. Alan Wisler received a prestigious ASHFoundation New Century Scholar Research Grant. Congratulations!
  • Kristin became a PhD candidate in Speech, Language, and Hearing Sciences. Congratulations!
  • Dr. Wang received a supplemental grant on his current R01 from NIH (2021-2024) to support the silent speech interface project.
  • Alan and Kristin have two presentations accepted by ASHA2021, November 18 - 20, Washington, DC. Congratulations!
  • Debadatta has two papers on nerual speech decoding accepted by the proceedings of EMBC2021 and SPECOM2021, respectively, and will also present at the Society of the Neurobiology of Language Meeting in October 2021.  Congratulations!
  • Kristin was awarded the Lee and Joe Jamail Endowed Presidential Scholarship in Speech-Language Pathology ($3000).  Congratulations!
  • Alan will join the Department of Math and Statistics at the Utah State University, Logan, UT as a tenure-track Assistant Professor this Fall.  Congratulations! 
  • Beiming has a paper on speech reconstruction for laryngectomees accepted by Interspeech 2021, Brno, Czeck. Congratulations! 
  • Beiming, Debadatta, and Kristin presented their posters (virtually) at the UT CARE Reseach Day 2021. Congratulations! 
  • Debadatta received a Student Travel Award from the Brain-Computer Interface (BCI) Society to attend the BCI Meeting 2021. Congratulations! 
  • Anusha, Kristin, and Alan have a presentation accepted by TSHA 2021. Debadatta has a paper accepted by NER2021. Congratulations!
  • The lab is featured in the Brain-Computer Interface (BCI) Society Newsletter, issue 1, December 2020.
  • Debadatta received an ISCA Travel Grant to attend Interspeech 2020 and started his Fall 2020 internship at Facebook Reality Labs. Congratulations!
  • Alan and Kristin presented three posters at the Signal Analytics Workshop at the Motor Speech Conference, 2020. Debadatta presented orally at the Texas MEG Symposium 2020 in March and published three papers in Frontiers in NeuroscienceSensors, and IEEE Access. Alan and Dave first-authored two papers that were accepted by the 33rd International FLAIRS conference (FLAIRS33), 2020, and the International Joint Conference on Neural Networks (IJCNN) as part of the World Congress on Computational Intelligence (WCCI), 2020, respectively.  Dave, Kristin, Alan, Beiming, and Wendy co-authored three papers that were accepted by Interspeech 2020. Alan has a paper accepted by the Journal of Speech, Language, and Hearing Research. Congratulations!
  • Kristin's poster is recognized as a "Meritorious Poster" (about 3% selected) by ASHA 2019.  Congratulations! 
  • Dr. Wang recevied a NIH R01 award to support the silent speech interface project ($2.9M, 2019-2024). 
  • Dr. Wang received a subtract of a NIH R01 grant on developmental language disorders that is awarded to UT Dallas (PI: Goffman, $2.2M, 2017-2022).
  • Dr. Wang served as an ad hoc reviewer for NIH, NSF, ASHFoundation and other internal programs or national agencies within in or outside US.
  • Debadatta received a Best Student Paper Award from Brain Informatics 2018. Congratulations!
  • Mathworks (MATLAB) User Story features the neural speech decoding for brain-comuter interface project in the lab.
  • Nature Outlook article features the early detection of ALS from speech signals project in the lab.