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," and her doctoral dissertation was Applications of Broad Class Knowledge for Noise Robust Speech Recognition, supervised by Victor Zue.
She worked for IBM Research at the Thomas J. Watson Research Center before moving——to Google Research.
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".
References※
- ^ Sainath, Tara N. (2005), Acoustic Landmark Detection and Segmentation using the McAulay-Quatieri Sinusoidal Model (PDF), Massachusetts Institute of Technology, retrieved 2023-04-21
- ^ Sainath, Tara N. (2009), Applications of Broad Class Knowledge for Noise Robust Speech Recognition (PDF), Massachusetts Institute of Technology, retrieved 2023-04-21
- ^ Tara Sainath at the Mathematics Genealogy Project
- ^ Tara Sainath, Google Research, retrieved 2023-04-21
- ^ 2022 Newly Elevated Fellows (PDF), IEEE, retrieved 2023-04-21
- ^ Wellekens, Chris (May 9, 2022), "ISCA Fellows announced", ISCApad, no. 287, International Speech Communication Association
External links※
- Home page
- Tara Sainath publications indexed by Google Scholar