Tara Sainath

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,^[1] and her doctoral dissertation was Applications of Broad Class Knowledge for Noise Robust Speech Recognition, supervised by Victor Zue.^[2][3]

She worked for IBM Research at the Thomas J. Watson Research Center before moving to Google Research.^[4]

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".^[5][6]