Alex Waibel
American computer scientist / From Wikipedia, the free encyclopedia
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Alexander Waibel (born 2 May 1956 in Heidelberg, Germany) is a professor of Computer Science at Carnegie Mellon University and Karlsruhe Institute of Technology. Waibel's research interests focus on speech recognition and translation[1] and human communication signals and systems.[2] Alex Waibel made pioneering contributions to speech translation systems, breaking down language barriers through cross-lingual speech communication. In fundamental research on machine learning, he is known for the Time Delay Neural Network (TDNN),[3] the first Convolutional Neural Network (CNN) trained by gradient descent, using backpropagation. Alex Waibel introduced the TDNN in 1987 at ATR in Japan.[4]
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Alex Waibel | |
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Born | 2 May 1956 Heidelberg, Germany |
Awards | IEEE Senior Best Paper Award (1990), Allen Newell Award for Research Excellence (2002), Antonio Zampolli Prize (2014), Meta Prize (2011 & 2016), James L. Flanagan Speech and Audio Processing Award (2023) |
Academic background | |
Alma mater | Massachusetts Institute of Technology (BS), Carnegie Mellon University (MS, PhD) |
Doctoral advisor | Raj Reddy |
Academic work | |
Discipline | Computer Science |
Sub-discipline | Artificial Intelligence, Machine Learning, Deep Learning |
Institutions | Carnegie Mellon University, Karlsruhe Institute of Technology |
Notable students | Laurence Devillers |