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 and speech driven brain-computer interface, as well as to conduct basic speech science and disorders research on neurogenic motor speech disorders and neural mechnisms 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?
- Debadatta received an ISCA Travel Grant to attend Interspeech 2020. Congratulations!
- Alan and Kristin presented three posters at the Signal Analytics Workshop at the Motor Speech Conference, Santa Barbara, CA, Feb 19-23, 2020. Debadatta presented orally at the Texas MEG Symposium 2020 on March 6 and published two papers in Frontiers in Neuroscience and Sensors. Alan and Dave first-authored two papers that were accepted by the 33rd International FLAIRS conference (FLAIRS33), North Miami Beach, FL, May 17-20, 2020, and the International Joint Conference on Neural Networks (IJCNN) as part of the World Congress on Computational Intelligence (WCCI), Glasgow, UK, July 19 - 24, 2020, respectively. Dave, Kristin, Alan, Beiming, and Wendy co-authored three papers that were accepted by Interspeech 2020, Shanghai, China, October 25 - 29.
- 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 a reviewer in the NIH Motor Function, Speech, and Rehabilitation Study section, San Francisco, CA, Februray 2019.
- Debadatta received the 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.
- A Nature Outlook article features the early detection of ALS from speech signals project in the lab.
