Carol Espy-Wilson, Professor of Electrical and Computer Engineering

    Carol Espy-Wilson is a professor in the Electrical and Computer Engineering Department and the Institute for Systems Research at the University of Maryland, College Park. Dr. Espy-Wilson received her B.S. in Electrical Engineering from Stanford University.  She received her M.S., E.E. and Ph.D. degrees in Electrical Engineering from the Massachusetts Institute of Technology. Prior to joining the faculty at the University of Maryland, Dr. Espy-Wilson was a faculty member at Boston University.

    Dr. Espy-Wilson’s research is in speech communication. She combines knowledge of digital signal processing, speech science, linguistics, speech acoustics and machine learning to conduct interdisciplinary research in speech and speaker recognition, speech production, speech enhancement and single-channel speech segregation. She also analyzes speech as a behavioral signal for emotion recognition, sentiment analysis and the detection and monitoring of mental health. Her company, OmniSpeech, translates research in her lab on noise suppression and speech enhancement to technology that improves speech-enabled technology in any device, app or platform.

    Dr. Espy-Wilson is a Fellow of the Institute for Electrical and Electronic Engineers, the International Speech Communication Association, the Acoustical Society of America and the Radcliffe Institute for Advanced Study at Harvard University. Among the other honors and awards she has received are the Clare Boothe Luce Professorship, a National Institutes of Health (NIH) Career Award,  the Distinguished Scholar-Teacher Award, the University of Maryland Campus Woman of Influence Award, and First African American woman and First African American in ECE to achieve tenure and be promoted to the rank of full professor (awarded by the University of Maryland First to ADVANCE Program).

    Dr. Espy-Wilson is currently on the advisory council for the National Institutes on Deafness and Other Communication Disorders at NIH and she is on the editorial board of Computer, Speech and Language.

    Bio adapted from the University of Maryland A. James Clark School of Engineering