28 COE faculty and affiliates were recipients of FY12 TIER 1 Interdisciplinary Research Seed Grants for 18 different research projects.
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- R.l Patel, D. Erdogmus, et al., RSVP IconMessenger: Icon-Based Brain-Interfaced Alternative and Augmentative Communication, Brain-Computer Interfaces, 1(3-4), 2014, 192-203
- R. Patel, H. Kember, S. Natale, Feasibility of Augmenting Text With Visual Prosodic Cues to Enhance Oral Reading, Speech Communication, 65, 2014, 109-118
- T. Mills, H.T. Bunnell, R. Patel, Towards Personalized Speech Synthesis for Augmentative and Alternative Communication, Augmentative and Alternative Communication, 30(3), 2014, 226-236
- R. Patel, K. Connaghan, D. Franco, E. Edsall, D. Forgit, et al., “The Caterpillar”: A Novel Reading Passage for Assessment of Motor Speech Disorders, American Journal of Speech-Language Pathology, 22(1), 2013, 1-9
- K. Wiegand, R. Patel, Non-syntactic Word Prediction for AAC, Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies, 2012, 28-36
- K. Wiegand, R. Patel, SymbolPath: A Continuous Motion Overlay Module for Icon-Based Assistive Communication, Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility, 2012, 209-210
Professor Patel is a member of the faculty of both the Khoury College of Computer Sciences and the Department of Speech Language Pathology and Audiology. She also is involved in developing a PhD in Health Informatics program incorporating expertise from the two colleges. She founded and directs the Communication Analysis and Design Laboratory (CadLab). The mission of this interdisciplinary lab is to conduct research along two main themes: analysis of spoken communication and the design, development and assessment of novel assistive human-machine interfaces. Current research projects include prosodic (melodic) analysis of impaired speech for developing voice-driven assistive communication aids, studying the effects of pitch and loudness perturbations on speech production, developing interactive software for teaching children how to read aloud with inflection, and designing and implementing novel brain-computer interfaces, Students from speech and hearing sciences, electrical engineering and computer science work collaboratively in the CadLab, a state-of-the-art facility for conducting psychoacoustic studies, software design and prototyping, and usability testing.