Abdel-rahman Mohamed

发表

Learning filter banks within a deep neural network framework

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Transformers with convolutional context for ASR pdf

Luke S. Zettlemoyer, Abdel-rahman Mohamed, Dmytro Okhonko, 2019, ArXiv.

Acoustic Modeling Using Deep Belief Networks

Geoffrey E. Hinton, Abdel-rahman Mohamed, George E. Dahl, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? pdf

Matthew Richardson, Rich Caruana, Matthai Philipose, 2016, ArXiv.

Convolutional Neural Networks for Speech Recognition

Gerald Penn, Abdel-rahman Mohamed, Hui Jiang, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Sequence Modeling via Segmentations pdf

Chong Wang, Po-Sen Huang, Li Deng, 2017, ICML.

Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine

Geoffrey E. Hinton, Marc'Aurelio Ranzato, Abdel-rahman Mohamed, 2010, NIPS.

The shared views of four research groups )

Tara N. Sainath, Brian Kingsbury, Geoffrey E. Hinton, 2012 .

Direct Optimization of F-Measure for Retrieval-Based Personal Question Answering

Ruhi Sarikaya, Abdel-rahman Mohamed, Rasool Fakoor, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Do Deep Convolutional Nets Really Need to be Deep and Convolutional?

Matthew Richardson, Rich Caruana, Matthai Philipose, 2016, ICLR.

Memory-augmented Attention Modelling for Videos pdf

Pushmeet Kohli, Abdel-rahman Mohamed, Sing Bing Kang, 2016, ArXiv.

Exploring multidimensional lstms for large vocabulary ASR

Geoffrey Zweig, Yifan Gong, Jinyu Li, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Blending LSTMs into CNNs

Matthew Richardson, Rich Caruana, Matthai Philipose, 2015, ICLR 2016.

Analysis of Deep Neural Networks with Extended Data Jacobian Matrix

Jeff A. Bilmes, Matthew Richardson, Rich Caruana, 2016, ICML.

Neuro-Symbolic Program Synthesis pdf

Lihong Li, Pushmeet Kohli, Emilio Parisotto, 2016, ICLR.

Deep bi-directional recurrent networks over spectral windows

Geoffrey Zweig, Andreas Stolcke, Dong Yu, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Understanding how Deep Belief Networks perform acoustic modelling

Geoffrey E. Hinton, Gerald Penn, Abdel-rahman Mohamed, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597

Tara N. Sainath, Brian Kingsbury, Geoffrey E. Hinton, 2012 .

Deep Neural Network Acoustic Models for ASR

Abdel-rahman Mohamed, Abdel-rahman Mohamed, 2014 .

Making Deep Belief Networks effective for large vocabulary continuous speech recognition

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Improvements to filterbank and delta learning within a deep neural network framework

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hybrid speech recognition with Deep Bidirectional LSTM

Navdeep Jaitly, Alex Graves, Abdel-rahman Mohamed, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Binary coding of speech spectrograms using a deep auto-encoder

Geoffrey E. Hinton, Dong Yu, Li Deng, 2010, INTERSPEECH.

LSTM time and frequency recurrence for automatic speech recognition

Geoffrey Zweig, Yifan Gong, Jinyu Li, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Deep Belief Networks using discriminative features for phone recognition

Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning Lexical Embeddings with Syntactic and Lexicographic Knowledge

Tong Wang, Graeme Hirst, Abdel-rahman Mohamed, 2015, ACL.

Multiresolution Deep Belief Networks

Abdel-rahman Mohamed, Yichuan Tang, Abdel-rahman Mohamed, 2012, AISTATS.

Improvements to Deep Convolutional Neural Networks for LVCSR

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Deep Neural Networks for Acoustic Modeling in Speech Recognition

Tara N. Sainath, Brian Kingsbury, Geoffrey E. Hinton, 2012 .

Investigation of full-sequence training of deep belief networks for speech recognition

Dong Yu, Li Deng, Abdel-rahman Mohamed, 2010, INTERSPEECH.

Phone recognition using Restricted Boltzmann Machines

Geoffrey E. Hinton, Abdel-rahman Mohamed, Abdel-rahman Mohamed, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Deep convolutional neural networks for LVCSR

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Compressing LSTMs into CNNs pdf

Matthew Richardson, Rich Caruana, Charles A. Sutton, 2015, ArXiv.

Speech recognition with deep recurrent neural networks

Geoffrey E. Hinton, Alex Graves, Abdel-rahman Mohamed, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Effectiveness of Self-Supervised Pre-Training for ASR

Abdel-rahman Mohamed, Alexei Baevski, Abdel-rahman Mohamed, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

MSR System Description - TAC 2016 KBP Cold Start Slof Filling Track

Pushmeet Kohli, Taesup Kim, Abdel-rahman Mohamed, 2016, TAC.

Deep API Programmer: Learning to Program with APIs pdf

Pushmeet Kohli, Rishabh Singh, Abdel-rahman Mohamed, 2017, ArXiv.

Deep Convolutional Neural Networks for Large-scale Speech Tasks

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2015, Neural Networks.

Differentiable Greedy Networks pdf

Ruhi Sarikaya, Abdel-rahman Mohamed, Rasool Fakoor, 2018, ArXiv.

RobustFill: Neural Program Learning under Noisy I/O

Pushmeet Kohli, Rishabh Singh, Abdel-rahman Mohamed, 2017, ICML.

Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition

Gerald Penn, Abdel-rahman Mohamed, Hui Jiang, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Belief Networks for phone recognition

Geoffrey E. Hinton, Abdel-rahman Mohamed, George E. Dahl, 2009 .

Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training?

Ruslan Salakhutdinov, Abdel-rahman Mohamed, Yao-Hung Tsai, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).