Carol Espy-Wilson
Also known as Carol Yvonne Espy
Carol Espy-Wilson is a speech researcher whose work on speech recognition, speech production and speech enhancement draws on machine learning. She earned her doctorate at MIT in 1987, after a Stanford degree, with a thesis on acoustic-phonetic speech recognition. She moved from Boston University to Maryland in 2001, and ISCA named her a Fellow in 2018. In 2014 she founded OmniSpeech, and its AI Detect product, which debuted at CES 2026, targets deepfake voices. As of October 2026 she is a professor of electrical and computer engineering at the University of Maryland.
Timeline
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1979–1987
An acoustic-phonetic thesis
She earns a bachelor's degree from Stanford in 1979 and a doctorate in electrical engineering from MIT in 1987. Her dissertation is titled An Acoustic-Phonetic Approach to Speech Recognition: Application to the Semivowels.
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1990–2001
From Boston University to Maryland
She joins the Boston University faculty in 1990. In 2001 she makes the move to the University of Maryland, College Park.
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2008–2009
A Radcliffe fellowship
She is a Radcliffe Fellow at Harvard in 2008–2009. During the fellowship year she plans to focus on the noise robustness of a probabilistic landmark-based speech-recognition system.
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2009–2014
Founding OmniSpeech
UMD's Venture Accelerator program urges her into entrepreneurship in 2009. In 2014 she founds OmniSpeech to turn years of research in speech communication and noise suppression into practical tools.
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2018–2022
ISCA and IEEE fellowships
The International Speech Communication Association names her an ISCA Fellow in 2018 for contributions to speech acoustic modelling, speech signal processing, and applications to knowledge-driven speech recognition and speech enhancement. The IEEE elevates her to IEEE Fellow, effective January 1, 2022.
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2021
A speech inversion keynote
In June 2021 she gives the keynote at the 180th Meeting of the Acoustical Society of America, presenting a speech inversion system based on machine learning technology.
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2026
AI Detect for deepfake voices
OmniSpeech's AI Detect product debuts at CES 2026. The product is a real-time voice deepfake detection tool, now available in the Zoom App Marketplace.
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As of October 2026
Professor at Maryland
She is a professor in electrical and computer engineering at the University of Maryland. Her research combines linguistics and machine learning with speech production, speech recognition and speech enhancement.
Sources and credits
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- Carol Espy-Wilson - Wikipedia
- Carol Espy-Wilson | Language Science Center
- Carol Espy-Wilson, SM ’81, EE ’84, PhD ’87 | MIT Technology Review
- Faculty Profile | Semiconductor Innovation Initiative
- Carol Espy-Wilson | Radcliffe Institute for Advanced Study at Harvard University
- OmniSpeech Launches Real-Time Voice Deepfake Detection | Department of Electrical and Computer Engineering
- ISCA - ISCA Fellow Program
- Professor Espy-Wilson Named IEEE Fellow | Department of Electrical and Computer Engineering
- OmniSpeech Launches Real-Time Voice Deepfake Detection | Institute for Systems Research
- Carol Espy-Wilson | Center for Educational Data Science and Innovation