Andrew W. Senior
Andrew Senior received his PhD from the University of
Cambridge, for his thesis "Offline cursive handwriting recognition with recurrent neural networks", having previously worked on speech recognition at LIMSI at the University of Paris XI. He joined IBM Research in 1994 where he worked in the areas of handwriting, audio-visual speech, face and fingerprint recognition as well as video privacy and visual tracking.
In 2008 he taught at Columbia University before joining Google Research where he worked on speech recognition with deep neural networks and recurrent neural networks. He has coauthored a "Guide to Biometrics", and over seventy scientific papers; holds forty-six patents. His research interests range across deep learning, speech, computer vision and visual art.
Authored Publications
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Multichannel Signal Processing with Deep Neural Networks for Automatic Speech Recognition
Kean Chin
Chanwoo Kim
IEEE /ACM Transactions on Audio, Speech, and Language Processing, 25 (2017), pp. 965 - 979
Raw Multichannel Processing Using Deep Neural Networks
Kean Chin
Chanwoo Kim
New Era for Robust Speech Recognition: Exploiting Deep Learning, Springer (2017)
WaveNet: A Generative Model for Raw Audio
Aäron van den Oord
Sander Dieleman
Karen Simonyan
Alexander Graves
Nal Kalchbrenner
Koray Kavukcuoglu
Arxiv (2016)
Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends
Zhen-Hua Ling
Shiyin Kang
Mike Schuster
Xiao-Jun Qian
Helen Meng
Li Deng
IEEE Signal Processing Magazine, 32 (2015), pp. 35-52
Learning acoustic frame labeling for speech recognition with recurrent neural networks
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Ozan Irsoy
Alex Graves
Françoise Beaufays
Johan Schalkwyk
ICASSP (2015), pp. 4280-4284
Large Vocabulary Automatic Speech Recognition for Children
Olivier Siohan
Melissa Carroll
Noah Coccaro
Qi-Ming Jiang
Interspeech (2015)
