Segui
Awni Hannun
Awni Hannun
Machine Learning Research, Apple
Email verificata su apple.com - Home page
Titolo
Citata da
Citata da
Anno
Rectifier nonlinearities improve neural network acoustic models
AL Maas, AY Hannun, AY Ng
Proc. icml 30 (1), 3, 2013
77972013
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
32052016
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
22602014
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
18092019
Cardiologist-level arrhythmia detection with convolutional neural networks
P Rajpurkar, AY Hannun, M Haghpanahi, C Bourn, AY Ng
arXiv preprint arXiv:1707.01836, 2017
8122017
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
1872020
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
1842014
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
1822019
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
1602017
Certified data removal from machine learning models
C Guo, T Goldstein, A Hannun, L Van Der Maaten
arXiv preprint arXiv:1911.03030, 2019
1552019
Crypten: Secure multi-party computation meets machine learning
B Knott, S Venkataraman, A Hannun, S Sengupta, M Ibrahim, ...
Advances in Neural Information Processing Systems 34, 4961-4973, 2021
1402021
Gradient matching for domain generalization
Y Shi, J Seely, PHS Torr, N Siddharth, A Hannun, N Usunier, G Synnaeve
arXiv preprint arXiv:2104.09937, 2021
1212021
Sequence modeling with ctc
A Hannun
Distill 2 (11), e8, 2017
120*2017
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
1052016
Massively multilingual asr: 50 languages, 1 model, 1 billion parameters
V Pratap, A Sriram, P Tomasello, A Hannun, V Liptchinsky, G Synnaeve, ...
arXiv preprint arXiv:2007.03001, 2020
1022020
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
982017
Iterative pseudo-labeling for speech recognition
Q Xu, T Likhomanenko, J Kahn, A Hannun, G Synnaeve, R Collobert
arXiv preprint arXiv:2005.09267, 2020
962020
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions
A Hannun, A Lee, Q Xu, R Collobert
arXiv preprint arXiv:1904.02619, 2019
832019
Learning Multiscale Features Directly from Waveforms
Z Zhu, JH Engel, A Hannun
Interspeech 2016, 1305-1309, 2016
742016
Proceedings of the 30th International Conference on Machine Learning
AL Maas, AY Hannun, AY Ng, S Dasgupta, D McAllester
Association for Computing Machinery, New York, NY, 2013
682013
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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