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]
^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, tara, sainath, american, computer, scientist, whose, research, involves, deep, learning, applied, speech, recognition, principal, research, scientist, google, research, contents, education, career, recognition, references, external, linkseducati. 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 Contents 1 Education and career 2 Recognition 3 References 4 External linksEducation and career editSainath 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 editSainath 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 References edit 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 International Speech Communication Association no 287External links editHome page Tara Sainath publications indexed by Google Scholar Retrieved from https en wikipedia org w index php title Tara Sainath amp oldid 1151093043, wikipedia, wiki, book, books, library,
