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.
- 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, Santa Barbara, CA, Feb 19-23, 2020. Debadatta presented orally at the Texas MEG Symposium 2020 in March and published three papers in Frontiers in Neuroscience, Sensors, and IEEE Access. 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. 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 a reviewer in the NIH Motor Function, Speech, and Rehabilitation (MFSR) study section in the Februray 2019 and Octocber 2020 cycles.
- 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.