Sotabase

Career

· Co-founder and Head of AI, Rembrand2022–
· Researcher, Microsoft Research2014–
· Principal Scientist Manager, Amazon Alexa AI team
· Research Scientist, Facebook AI research (FAIR)

Publications (98)

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Annual Meeting of the Association for Computational Linguistics · 2019
12,207
cited
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
IEEE/ACM Transactions on Audio Speech and Language Processing · 2021
4,111
cited
Top Downloads in IEEE Xplore [Reader's Choice]
IEEE Signal Processing Magazine · 2017
4,104
cited
Deep Neural Networks for Acoustic Modeling in Speech Recognition
2012
2,526
cited
Convolutional Neural Networks for Speech Recognition
IEEE/ACM Transactions on Audio Speech and Language Processing · 2014
2,131
cited
Acoustic Modeling Using Deep Belief Networks
IEEE Transactions on Audio, Speech, and Language Processing · 2012
1,818
cited
Hybrid speech recognition with Deep Bidirectional LSTM
2013 IEEE Workshop on Automatic Speech Recognition and Understanding · 2013
1,703
cited
Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2012
938
cited
Deep Convolutional Neural Networks for Large-scale Speech Tasks
Neural Networks · 2015
493
cited
Deep Belief Networks for phone recognition
2009
471
cited
Self-Supervised Speech Representation Learning: A Review
IEEE Journal on Selected Topics in Signal Processing · 2022
456
cited
RobustFill: Neural Program Learning under Noisy I/O
International Conference on Machine Learning · 2017
409
cited
Neuro-Symbolic Program Synthesis
International Conference on Learning Representations · 2016
338
cited
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine
Neural Information Processing Systems · 2010
338
cited
Understanding how Deep Belief Networks perform acoustic modelling
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2012
318
cited
Deep Belief Networks using discriminative features for phone recognition
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2011
314
cited
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
International Conference on Learning Representations · 2016
255
cited
Improvements to Deep Convolutional Neural Networks for LVCSR
2013 IEEE Workshop on Automatic Speech Recognition and Understanding · 2013
234
cited
Federated Learning with Partial Model Personalization
International Conference on Machine Learning · 2022
208
cited
Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training?
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2021
175
cited
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Abdel-rahman Mohamed | Researcher Profile | Sotabase | Sotabase