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

{{reflist|refs=

{{citation|url=https://research.google/people/TaraSainath/|title=Tara Sainath|publisher=Google Research|access-date=2023-04-21}}

{{citation|url=http://groups.csail.mit.edu/sls/publications/2005/tara_meng_thesis.pdf|title=Acoustic Landmark Detection and Segmentation using the McAulay-Quatieri Sinusoidal Model|year=2005|first=Tara N.|last=Sainath|publisher=Massachusetts Institute of Technology|access-date=2023-04-21}}

{{citation|url=http://groups.csail.mit.edu/sls/publications/2009/Thesis_Sainath.pdf|title=Applications of Broad Class Knowledge for Noise Robust Speech Recognition|year=2009|first=Tara N.|last=Sainath|publisher=Massachusetts Institute of Technology|access-date=2023-04-21}}

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{{citation|url=https://www.ieee.org/content/dam/ieee-org/ieee/web/org/about/fellows/2022-ieee-fellows-class.pdf|archive-url=https://web.archive.org/web/20211124083848/https://www.ieee.org/content/dam/ieee-org/ieee/web/org/about/fellows/2022-ieee-fellows-class.pdf|url-status=dead|archive-date=November 24, 2021|title=2022 Newly Elevated Fellows|publisher=IEEE|access-date=2023-04-21}}

{{citation|url=https://www.isca-speech.org/iscapad/iscapad.php?module=article&id=25663|title=ISCA Fellows announced|work=ISCApad|publisher=International Speech Communication Association|date=May 9, 2022|first=Chris|last=Wellekens|issue=287}}

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