Jennifer Cole
Jennifer Cole is a linguist whose computational work examines prosody and speech recognition. She earned linguistics degrees at Michigan and MIT, taught at Yale, and advanced through Illinois faculty roles before joining Northwestern in 2016. Her work includes a 2005 paper on simultaneous word and prosody recognition, and she served as editor-in-chief of Laboratory Phonology from 2010 to 2015. She became an ISCA Fellow in 2019 and was elected to the 2019 AAAS Fellows class; since 2025, she has served as Northwestern's Associate Dean of Faculty while remaining a Professor of Linguistics.
- Now at
- Northwestern University
- Works
- 158
- Citations
- 3,248
- h-index
- 30
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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1982–1987
Studying linguistics
She earns a BA in linguistics at Michigan in 1982 and an MA in 1983, then completes an MIT PhD in linguistics in 1987.
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1987–1989
Teaching at Yale
She becomes an instructor in Yale's Department of Linguistics in 1987 and serves through 1989.
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1989–2016
Faculty ranks at Illinois
She joins Illinois as a visiting research associate in 1989, then moves to assistant professor in 1990, associate professor in 1998, and professor in 2010, serving through 2016.
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2005
Speech recognition with prosody
In 2005, she coauthors a paper on simultaneous recognition of words and prosody in the Boston University Radio Speech Corpus.
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2010–2015
Editing Laboratory Phonology
She serves as editor-in-chief of Laboratory Phonology from 2010 to 2015.
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2016
Professor at Northwestern
As of July 2016, she is Professor of Linguistics at Northwestern.
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2019
Scientific fellowships
She becomes an ISCA Fellow in 2019 and is elected to the 2019 AAAS Fellows class for her contributions to prosody and intonation.
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Since 2025
Professor and associate dean
She becomes Associate Dean of Faculty at Northwestern in 2025 while serving as Professor of Linguistics. Her research uses computational and statistical methods to model prosody and enable automated analysis of large, multi-talker/hearer datasets.
Sources and credits
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