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Books and Theses
- 2018
[b1]Awni Y. Hannun:
Transcribing real-valued sequences with deep neural networks. Stanford University, USA, 2018
Journal Articles
- 2017
- [j1]Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng:
Building DNN acoustic models for large vocabulary speech recognition. Comput. Speech Lang. 41: 195-213 (2017)
Conference and Workshop Papers
- 2022
- [c23]Xinlei Xu, Awni Y. Hannun, Laurens van der Maaten:
Data Appraisal Without Data Sharing. AISTATS 2022: 11422-11437 - [c22]Shubho Sengupta, Vineel Pratap, Awni Y. Hannun:
Parallel Composition of Weighted Finite-State Transducers. ICASSP 2022: 6542-6546 - [c21]Yuge Shi, Jeffrey Seely, Philip H. S. Torr, Siddharth Narayanaswamy, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve:
Gradient Matching for Domain Generalization. ICLR 2022 - [c20]Jacob D. Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Flashlight: Enabling Innovation in Tools for Machine Learning. ICML 2022: 10557-10574 - [c19]Awni Y. Hannun, Chuan Guo, Laurens van der Maaten:
Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract). IJCAI 2022: 5284-5288 - 2021
- [c18]Brian Knott, Shobha Venkataraman, Awni Y. Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten:
CrypTen: Secure Multi-Party Computation Meets Machine Learning. NeurIPS 2021: 4961-4973 - [c17]Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten:
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems. NeurIPS 2021: 11745-11756 - [c16]Wei-Ning Hsu, Ann Lee, Gabriel Synnaeve, Awni Y. Hannun:
Semi-Supervised end-to-end Speech Recognition via Local Prior Matching. SLT 2021: 125-132 - [c15]Awni Y. Hannun, Chuan Guo, Laurens van der Maaten:
Measuring data leakage in machine-learning models with Fisher information. UAI 2021: 760-770 - 2020
- [c14]Jacob Kahn, Ann Lee, Awni Y. Hannun:
Self-Training for End-to-End Speech Recognition. ICASSP 2020: 7084-7088 - [c13]Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
Word-Level Speech Recognition With a Letter to Word Encoder. ICML 2020: 2100-2110 - [c12]Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten:
Certified Data Removal from Machine Learning Models. ICML 2020: 3832-3842 - [c11]Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Iterative Pseudo-Labeling for Speech Recognition. INTERSPEECH 2020: 1006-1010 - [c10]Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Scaling Up Online Speech Recognition Using ConvNets. INTERSPEECH 2020: 3376-3380 - [c9]Vineel Pratap, Anuroop Sriram
, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. INTERSPEECH 2020: 4751-4755 - 2019
- [c8]Adrien Dufraux, Emmanuel Vincent, Awni Y. Hannun, Armelle Brun, Matthijs Douze:
Lead2Gold: Towards Exploiting the Full Potential of Noisy Transcriptions for Speech Recognition. ASRU 2019: 78-85 - [c7]Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert:
Wav2Letter++: A Fast Open-source Speech Recognition System. ICASSP 2019: 6460-6464 - [c6]Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
A fully differentiable beam search decoder. ICML 2019: 1341-1350 - [c5]Awni Y. Hannun, Ann Lee, Qiantong Xu, Ronan Collobert:
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions. INTERSPEECH 2019: 3785-3789 - [c4]Yichen Shen, Maxime Voisin, Alireza Aliamiri, Anand Avati, Awni Y. Hannun, Andrew Y. Ng:
Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning. KDD 2019: 1909-1916 - 2016
- [c3]Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML 2016: 173-182 - [c2]Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh:
Persistent RNNs: Stashing Recurrent Weights On-Chip. ICML 2016: 2024-2033 - [c1]Zhenyao Zhu, Jesse H. Engel, Awni Y. Hannun:
Learning Multiscale Features Directly from Waveforms. INTERSPEECH 2016: 1305-1309
Informal and Other Publications
- 2022
- [i32]Vineel Pratap, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Star Temporal Classification: Sequence Classification with Partially Labeled Data. CoRR abs/2201.12208 (2022) - [i31]Jacob Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Flashlight: Enabling Innovation in Tools for Machine Learning. CoRR abs/2201.12465 (2022) - 2021
- [i30]Awni Y. Hannun, Chuan Guo, Laurens van der Maaten:
Measuring Data Leakage in Machine-Learning Models with Fisher Information. CoRR abs/2102.11673 (2021) - [i29]Ruihan Wu, Chuan Guo, Awni Y. Hannun, Laurens van der Maaten:
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems. CoRR abs/2103.11766 (2021) - [i28]Yuge Shi, Jeffrey Seely, Philip H. S. Torr, N. Siddharth, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve:
Gradient Matching for Domain Generalization. CoRR abs/2104.09937 (2021) - [i27]Awni Y. Hannun:
The Role of Evolution in Machine Intelligence. CoRR abs/2106.11151 (2021) - [i26]Awni Y. Hannun:
The History of Speech Recognition to the Year 2030. CoRR abs/2108.00084 (2021) - [i25]Brian Knott, Shobha Venkataraman, Awni Y. Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten:
CrypTen: Secure Multi-Party Computation Meets Machine Learning. CoRR abs/2109.00984 (2021) - [i24]Shubho Sengupta, Vineel Pratap, Awni Y. Hannun:
Parallel Composition of Weighted Finite-State Transducers. CoRR abs/2110.02848 (2021) - 2020
- [i23]Chuan Guo, Awni Y. Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu:
Secure multiparty computations in floating-point arithmetic. CoRR abs/2001.03192 (2020) - [i22]Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Scaling Up Online Speech Recognition Using ConvNets. CoRR abs/2001.09727 (2020) - [i21]Wei-Ning Hsu, Ann Lee, Gabriel Synnaeve, Awni Y. Hannun:
Semi-Supervised Speech Recognition via Local Prior Matching. CoRR abs/2002.10336 (2020) - [i20]Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Iterative Pseudo-Labeling for Speech Recognition. CoRR abs/2005.09267 (2020) - [i19]Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. CoRR abs/2007.03001 (2020) - [i18]Laurens van der Maaten, Awni Y. Hannun:
The Trade-Offs of Private Prediction. CoRR abs/2007.05089 (2020) - [i17]Awni Y. Hannun, Vineel Pratap, Jacob Kahn, Wei-Ning Hsu:
Differentiable Weighted Finite-State Transducers. CoRR abs/2010.01003 (2020) - [i16]Mimee Xu, Laurens van der Maaten, Awni Y. Hannun:
Data Appraisal Without Data Sharing. CoRR abs/2012.06430 (2020) - 2019
- [i15]Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
A Fully Differentiable Beam Search Decoder. CoRR abs/1902.06022 (2019) - [i14]Awni Y. Hannun, Ann Lee, Qiantong Xu, Ronan Collobert:
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions. CoRR abs/1904.02619 (2019) - [i13]Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
Word-level Speech Recognition with a Dynamic Lexicon. CoRR abs/1906.04323 (2019) - [i12]Jacob Kahn, Ann Lee, Awni Y. Hannun:
Self-Training for End-to-End Speech Recognition. CoRR abs/1909.09116 (2019) - [i11]Awni Y. Hannun, Brian Knott, Shubho Sengupta, Laurens van der Maaten:
Privacy-Preserving Contextual Bandits. CoRR abs/1910.05299 (2019) - [i10]Adrien Dufraux, Emmanuel Vincent, Awni Y. Hannun, Armelle Brun, Matthijs Douze:
Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition. CoRR abs/1910.07323 (2019) - [i9]Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten:
Certified Data Removal from Machine Learning Models. CoRR abs/1911.03030 (2019) - 2018
- [i8]Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert:
wav2letter++: The Fastest Open-source Speech Recognition System. CoRR abs/1812.07625 (2018) - 2017
- [i7]Pranav Rajpurkar, Awni Y. Hannun, Masoumeh Haghpanahi, Codie Bourn, Andrew Y. Ng:
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks. CoRR abs/1707.01836 (2017) - 2016
- [i6]Zhenyao Zhu, Jesse H. Engel, Awni Y. Hannun:
Learning Multiscale Features Directly FromWaveforms. CoRR abs/1603.09509 (2016) - [i5]Christopher T. Lengerich, Awni Y. Hannun:
An End-to-End Architecture for Keyword Spotting and Voice Activity Detection. CoRR abs/1611.09405 (2016) - 2015
- [i4]Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR abs/1512.02595 (2015) - 2014
- [i3]Andrew L. Maas, Awni Y. Hannun, Christopher T. Lengerich, Peng Qi, Daniel Jurafsky, Andrew Y. Ng:
Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition. CoRR abs/1406.7806 (2014) - [i2]Andrew L. Maas, Awni Y. Hannun, Daniel Jurafsky, Andrew Y. Ng:
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs. CoRR abs/1408.2873 (2014) - [i1]Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng:
Deep Speech: Scaling up end-to-end speech recognition. CoRR abs/1412.5567 (2014)
Coauthor Index
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