Awni Hannun
Awni Hannun
Facebook AI Research
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Title
Cited by
Cited by
Year
Rectifier nonlinearities improve neural network acoustic models
AL Maas, AY Hannun, AY Ng
Proc. icml 30 (1), 3, 2013
42852013
Deep speech 2: End-to-end speech recognition in english and mandarin
D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ...
International conference on machine learning, 173-182, 2016
19392016
Deep speech: Scaling up end-to-end speech recognition
A Hannun, C Case, J Casper, B Catanzaro, G Diamos, E Elsen, ...
arXiv preprint arXiv:1412.5567, 2014
13652014
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
AY Hannun, P Rajpurkar, M Haghpanahi, GH Tison, C Bourn, ...
Nature medicine 25 (1), 65-69, 2019
6262019
Cardiologist-level arrhythmia detection with convolutional neural networks
P Rajpurkar, AY Hannun, M Haghpanahi, C Bourn, AY Ng
arXiv preprint arXiv:1707.01836, 2017
4612017
First-pass large vocabulary continuous speech recognition using bi-directional recurrent DNNs
AY Hannun, AL Maas, D Jurafsky, AY Ng
arXiv preprint arXiv:1408.2873, 2014
1192014
Wav2letter++: A fast open-source speech recognition system
V Pratap, A Hannun, Q Xu, J Cai, J Kahn, G Synnaeve, V Liptchinsky, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
842019
Building DNN acoustic models for large vocabulary speech recognition
AL Maas, P Qi, Z Xie, AY Hannun, CT Lengerich, D Jurafsky, AY Ng
Computer Speech & Language 41, 195-213, 2017
762017
Persistent rnns: Stashing recurrent weights on-chip
G Diamos, S Sengupta, B Catanzaro, M Chrzanowski, A Coates, E Elsen, ...
International Conference on Machine Learning, 2024-2033, 2016
722016
Learning Multiscale Features Directly from Waveforms
Z Zhu, JH Engel, A Hannun
Interspeech 2016, 1305-1309, 2016
472016
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions
A Hannun, A Lee, Q Xu, R Collobert
arXiv preprint arXiv:1904.02619, 2019
432019
Sequence modeling with ctc
A Hannun
Distill 2 (11), e8, 2017
392017
Deployed end-to-end speech recognition
B Catanzaro, J Chen, M Chrzanowski, E Elsen, J Engel, C Fougner, ...
US Patent App. 15/358,083, 2017
372017
Systems and methods for speech transcription
A Hannun, C Case, J Casper, B Catanzaro, G Diamos, E Elsen, ...
US Patent 10,540,957, 2020
352020
Self-training for end-to-end speech recognition
J Kahn, A Lee, A Hannun
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
312020
An end-to-end architecture for keyword spotting and voice activity detection
C Lengerich, A Hannun
arXiv preprint arXiv:1611.09405, 2016
302016
Unsupervised feature learning and deep learning
A Ng, J Ngiam, CY Foo, Y Mai, C Suen, A Coates, A Maas, A Hannun, ...
Technical report, Stanford University, 2013
262013
Recurrent neural network feature enhancement: The 2nd CHiME challenge
AL Maas, TM O’Neil, AY Hannun, AY Ng
Proceedings The 2nd CHiME Workshop on Machine Listening in Multisource …, 2013
242013
Ambulatory atrial fibrillation monitoring using wearable photoplethysmography with deep learning
Y Shen, M Voisin, A Aliamiri, A Avati, A Hannun, A Ng
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
212019
Certified data removal from machine learning models
C Guo, T Goldstein, A Hannun, L Van Der Maaten
arXiv preprint arXiv:1911.03030, 2019
202019
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