The Institute for Systems Research
Speech Communication Lab
Carol 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 MIT. She was on faculty at Boston University from 1990 to 2001.
HONORS, AWARDS & SPECIAL RECOGNITION
- Fellow of the International Speech Communication Association (2018)
- Associate Editor, Journal of the Acoustical Society of America
- Advisory Council, NIH National Institutes on Biomedical Imaging and Bioengineering (2015-2018)
- Institute for Systems Research Senior Faculty Fellow Award (2015-2017)
- Distinguished Scholar-Teacher Award, University of Maryland (2012-2013)
- Advance Professor, University of Maryland (2011-2012)
- Elected to the Speech and Language Technical Committee of IEEE (2010-2012)
- Invention of the Year Award, University of Maryland (2010)
- Maryland Innovator of the Year Award, Baltimore Daily Record (2010)
- Grand Prize, Rockville Economic Development Inc. (REDI) StartRight! Women’s Business Plan Competition, 2010
- $50,000 SAIC-VentureAccelerator Competition, 2010
- University of Maryland $75K Business Plan Competition (High Technology & Social Impact), 2010
- Invention of the Year (Information Science): OmniSpeech, 2010
- Chair, Speech Communication Technical Committee, Acoustical Society of America (2007-2010)
- Editorial Board, Acoustics Today, Acoustical Society of America (2007-2009)
- Fellow, Radcliffe Institute for Advanced Study, Harvard University (2008-2009)
- Fellow of the Acoustical Society of America (2005)
- Honda Initiation Award (2003)
- Honda Initiation Award (2004)
- Member, NIH Language and Communication Study Section (2001-2004)
- NIH Career Award (1998-2003)
- Clare Boothe Luce Professor (1990-1995)
Digital signal process, speech science, speech enhancement and segregation, noise robust automatic speech recognition, assistive technologies.
- C. Espy-Wilson, G. Sivaraman, M. Tiede, V. Mitra, E. Saltzmann, L. Goldstein, H. Nam (in press), “Modeling of Articulatory Gestures to Control Effects of Production Variability on Speech Technologies”. In Cangemi, Clayards, Niebuhr, Schupler & Zellers (eds). Rethinking Reduction, Berlin: Mouton de Gruyter, 2018.
- Vikramjit Mitra, Ganesh Sivaraman, Hosung Nam, Carol Espy-Wilson, Elliot Saltzman, Mark Tiede, “Hybrid Convolutional Neural Networks For Articulatory And Acoustic Information Based Speech Recognition”, Speech Communication, Vol 89, Issue C, pp. 103-112, 2017.
- V. Mitra, H. Nam, C. Espy-Wilson, E. Saltzman, and L. Goldstein, “Recognizing articulatory gestures from speech for robust speech recognition”, Journal of the Acoustical Society of America, vol. 131, no. 3, pp. 2270-2287, 2012.
- X. Zhou, C. Espy-Wilson, S. Boyce, M. Tiede, Christy Holland and Ann Choe
- “A magnetic resonance imaging-based articulatory and acoustic study of “retroflex” and “bunched” American English /r/ sounds”, Journal of the Acoustical Society of America, Vol. 123, no. 6, pp. 4466-4481, 2008.
- A. Juneja and Carol Espy-Wilson, “Probabilistic landmark detection for automatic speech recognition using acoustic-phonetic information”, Journal of the Acoustical Society of America, vol. 123, no. 2, pp. 1154-1168, 2008.
- T. Pruthi, C. Espy-Wilson and Brad Story, “Simulation and analysis of nasalized vowels based on MRI data”, Journal of the Acoustical Society of America, vol. 121, no. 6, pp. 3858-3873, 2007.
- O. Deshmukh, C. Espy-Wilson, L. Carney, “Speech Enhancement using the Modified Phase Opponency Model”, Journal of the Acoustical Society of America, vol. 121, no. 6, pp. 3886-3898, 2007
- C. Y. Espy-Wilson, S. Boyce, M. Jackson, S. Narayanan and A. Alwan, “Acoustic Modeling of American English /r/”, Journal of the Acoustical Society of America, pp. 343-356, 2000.
- C. Y. Espy-Wilson, V. R. Chari, J. M. MacAuslan, C. B. Huang and M. J. Walsh “Enhancement of Electrolaryngeal Speech by Adaptive Filtering”, Journal of Speech, Language and Hearing Research, vol. 41, no. 6, December, pp. 1253-1264, 1998
- F. Guenther, C. Espy-Wilson, S. Boyce, M. Matthies, M. Zandipour and J. Perkell “Articulatory tradeoffs reduce acoustic variability during American English /r/ production”, Journal of the Acoustical Society of America, vol. 105, no. 5, pp. 2854-2865, 1999
- C. Y. Espy-Wilson (1994) “A Feature-Based Semivowel Recognition System,” Journal of the Acoustical Society of America, vol. 96, no. 1, pp. 65-72, 1992
C. Y. Espy-Wilson, “Acoustic Measures for Linguistic Features Distinguishing the Semivowels /wjrl/ in American English,” Journal of the Acoustical Society of America, vol. 92, no. 2, pp. 736-751, 1992.