Tara Sainath
{{Short description|American computer scientist}}
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Tara N. Sainath is an American computer scientist whose research involves deep learning applied to speech recognition. She is a principal research scientist at Google Research.
Education and career
Sainath was a student of electrical and engineering and computer science at the Massachusetts Institute of Technology, where she received a bachelor's degree, a master's degree in 2005, and a Ph.D. in 2009. Her master's thesis was Acoustic Landmark Detection and Segmentation using the McAulay-Quatieri Sinusoidal Model, supervised by Timothy Hazen,{{r|msthesis}} and her doctoral dissertation was Applications of Broad Class Knowledge for Noise Robust Speech Recognition, supervised by Victor Zue.{{r|phdthesis|mg}}
She worked for IBM Research at the Thomas J. Watson Research Center before moving to Google Research.{{r|goog}}
Recognition
Sainath was elected both as an IEEE Fellow and as a fellow of the International Speech Communication Association in 2022, in both cases "for contributions to deep learning for automatic speech recognition".{{r|if|isca}}
References
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External links
- [https://sites.google.com/site/tsainath/ Home page]
- {{Google Scholar id|aMeteU4AAAAJ}}
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Category:Year of birth missing (living people)
Category:American computer scientists
Category:American women computer scientists
Category:Speech processing researchers