no code implementations • 31 Oct 2022 • Katrin Tomanek, Katie Seaver, Pan-Pan Jiang, Richard Cave, Lauren Harrel, Jordan R. Green
Although personalized automatic speech recognition (ASR) models have recently been designed to recognize even severely impaired speech, model performance may degrade over time for persons with degenerating speech.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 9 Sep 2022 • Camille Noufi, Adam C. Lammert, Daryush D. Mehta, James R. Williamson, Gregory Ciccarelli, Douglas Sturim, Jordan R. Green, Thomas F. Quatieri, Thomas F. Campbell
Recommendations for common outcome measures following pediatric traumatic brain injury (TBI) support the integration of instrumental measurements alongside perceptual assessment in recovery and treatment plans.
no code implementations • 8 Jul 2021 • Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner
Automatic classification of disordered speech can provide an objective tool for identifying the presence and severity of speech impairment.
no code implementations • 15 Apr 2021 • Michael Neumann, Oliver Roesler, Jackson Liscombe, Hardik Kothare, David Suendermann-Oeft, David Pautler, Indu Navar, Aria Anvar, Jochen Kumm, Raquel Norel, Ernest Fraenkel, Alexander V. Sherman, James D. Berry, Gary L. Pattee, Jun Wang, Jordan R. Green, Vikram Ramanarayanan
Our results provide encouraging evidence of the utility of automatically extracted audiovisual analytics for scalable remote patient assessment and monitoring in ALS.
no code implementations • 15 Apr 2018 • Jonghye Woo, Jerry L. Prince, Maureen Stone, Fangxu Xing, Arnold Gomez, Jordan R. Green, Christopher J. Hartnick, Thomas J. Brady, Timothy G. Reese, Van J. Wedeen, Georges El Fakhri
We then use three-dimensional synthetic and \textit{in vivo} tongue motion data using protrusion and simple speech tasks to identify subject-specific and data-driven functional units of the tongue in localized regions.