Deep Speech: Scaling up end-to-end speech recognition. - Awni Y. Hannun; Carl Case; Jared Casper; Bryan Catanzaro; Greg Diamos; Erich Elsen; Ryan Prenger; Sanjeev Satheesh; Shubho Sengupta; Adam Coates 002; Andrew Y. Ng (CoRR, 2014)

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs. - Andrew L. Maas; Awni Y. Hannun; Daniel Jurafsky; Andrew Y. Ng (CoRR, 2014)

Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition. - Andrew L. Maas; Awni Y. Hannun; Christopher T. Lengerich; Peng Qi 003; Daniel Jurafsky; Andrew Y. Ng (CoRR, 2014)

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Rishita Anubhai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Erich Elsen; Jesse H. Engel; et al. (CoRR, 2015)

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Sundaram Ananthanarayanan; Rishita Anubhai; Jingliang Bai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; et al. (ICML, 2016)

Persistent RNNs: Stashing Recurrent Weights On-Chip. - Greg Diamos; Shubho Sengupta; Bryan Catanzaro; Mike Chrzanowski; Adam Coates 002; Erich Elsen; Jesse H. Engel; Awni Y. Hannun; Sanjeev Satheesh (ICML, 2016)

Learning Multiscale Features Directly from Waveforms. - Zhenyao Zhu; Jesse H. Engel; Awni Y. Hannun (INTERSPEECH, 2016)

An End-to-End Architecture for Keyword Spotting and Voice Activity Detection. - Christopher T. Lengerich; Awni Y. Hannun (CoRR, 2016)

Learning Multiscale Features Directly FromWaveforms. - Zhenyao Zhu; Jesse H. Engel; Awni Y. Hannun (CoRR, 2016)

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks. - Pranav Rajpurkar; Awni Y. Hannun; Masoumeh Haghpanahi; Codie Bourn; Andrew Y. Ng (CoRR, 2017)

Building DNN acoustic models for large vocabulary speech recognition. - Andrew L. Maas; Peng Qi 003; Ziang Xie; Awni Y. Hannun; Christopher T. Lengerich; Daniel Jurafsky; Andrew Y. Ng (Comput. Speech Lang., 2017)

wav2letter++: The Fastest Open-source Speech Recognition System. - Vineel Pratap; Awni Y. Hannun; Qiantong Xu; Jeff Cai; Jacob Kahn; Gabriel Synnaeve; Vitaliy Liptchinsky; Ronan Collobert (CoRR, 2018)

Transcribing real-valued sequences with deep neural networks. - Awni Y. Hannun (2018)

Lead2Gold: Towards Exploiting the Full Potential of Noisy Transcriptions for Speech Recognition. - Adrien Dufraux; Emmanuel Vincent 001; Awni Y. Hannun; Armelle Brun; Matthijs Douze (ASRU, 2019)

Wav2Letter++: A Fast Open-source Speech Recognition System. - Vineel Pratap; Awni Y. Hannun; Qiantong Xu; Jeff Cai; Jacob Kahn; Gabriel Synnaeve; Vitaliy Liptchinsky; Ronan Collobert (ICASSP, 2019)

A fully differentiable beam search decoder. - Ronan Collobert; Awni Y. Hannun; Gabriel Synnaeve (ICML, 2019)

Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions. - Awni Y. Hannun; Ann Lee 001; Qiantong Xu; Ronan Collobert (INTERSPEECH, 2019)

Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning. - Yichen Shen 003; Maxime Voisin; Alireza Aliamiri; Anand Avati; Awni Y. Hannun; Andrew Y. Ng (KDD, 2019)

Word-level Speech Recognition with a Dynamic Lexicon. - Ronan Collobert; Awni Y. Hannun; Gabriel Synnaeve (CoRR, 2019)

Privacy-Preserving Contextual Bandits. - Awni Y. Hannun; Brian Knott; Shubho Sengupta; Laurens van der Maaten (CoRR, 2019)

Self-Training for End-to-End Speech Recognition. - Jacob Kahn; Ann Lee 001; Awni Y. Hannun (ICASSP, 2020)

Word-Level Speech Recognition With a Letter to Word Encoder. - Ronan Collobert; Awni Y. Hannun; Gabriel Synnaeve (ICML, 2020)

Certified Data Removal from Machine Learning Models. - Chuan Guo 001; Tom Goldstein; Awni Y. Hannun; Laurens van der Maaten (ICML, 2020)

Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. - Vineel Pratap; Anuroop Sriram; Paden Tomasello; Awni Y. Hannun; Vitaliy Liptchinsky; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 2020)

Scaling Up Online Speech Recognition Using ConvNets. - Vineel Pratap; Qiantong Xu; Jacob Kahn; Gilad Avidov; Tatiana Likhomanenko; Awni Y. Hannun; Vitaliy Liptchinsky; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 2020)

Iterative Pseudo-Labeling for Speech Recognition. - Qiantong Xu; Tatiana Likhomanenko; Jacob Kahn; Awni Y. Hannun; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 2020)

Secure multiparty computations in floating-point arithmetic. - Chuan Guo 001; Awni Y. Hannun; Brian Knott; Laurens van der Maaten; Mark Tygert; Ruiyu Zhu (CoRR, 2020)

Semi-Supervised Speech Recognition via Local Prior Matching. - Wei-Ning Hsu; Ann Lee 001; Gabriel Synnaeve; Awni Y. Hannun (CoRR, 2020)

The Trade-Offs of Private Prediction. - Laurens van der Maaten; Awni Y. Hannun (CoRR, 2020)

Differentiable Weighted Finite-State Transducers. - Awni Y. Hannun; Vineel Pratap; Jacob Kahn; Wei-Ning Hsu (CoRR, 2020)

Data Appraisal Without Data Sharing. - Mimee Xu; Laurens van der Maaten; Awni Y. Hannun (CoRR, 2020)

CrypTen: Secure Multi-Party Computation Meets Machine Learning. - Brian Knott; Shobha Venkataraman; Awni Y. Hannun; Shubho Sengupta; Mark Ibrahim; Laurens van der Maaten (NeurIPS, 2021)

Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems. - Ruihan Wu; Chuan Guo 001; Awni Y. Hannun; Laurens van der Maaten (NeurIPS, 2021)

Semi-Supervised end-to-end Speech Recognition via Local Prior Matching. - Wei-Ning Hsu; Ann Lee 001; Gabriel Synnaeve; Awni Y. Hannun (SLT, 2021)

Measuring data leakage in machine-learning models with Fisher information. - Awni Y. Hannun; Chuan Guo 001; Laurens van der Maaten (UAI, 2021)

The Role of Evolution in Machine Intelligence. - Awni Y. Hannun (CoRR, 2021)

The History of Speech Recognition to the Year 2030. - Awni Y. Hannun (CoRR, 2021)

Data Appraisal Without Data Sharing. - Xinlei Xu; Awni Y. Hannun; Laurens van der Maaten (AISTATS, 2022)

Parallel Composition of Weighted Finite-State Transducers. - Shubho Sengupta; Vineel Pratap; Awni Y. Hannun (ICASSP, 2022)

Gradient Matching for Domain Generalization. - Yuge Shi; Jeffrey Seely; Philip H. S. Torr; Siddharth Narayanaswamy; Awni Y. Hannun; Nicolas Usunier; Gabriel Synnaeve (ICLR, 2022)

Flashlight: Enabling Innovation in Tools for Machine Learning. - Jacob D. Kahn; Vineel Pratap; Tatiana Likhomanenko; Qiantong Xu; Awni Y. Hannun; Jeff Cai; Paden Tomasello; Ann Lee 001; Edouard Grave; Gilad Avidov; Benoit Steiner; Vitaliy Liptchinsky; et al. (ICML, 2022)

Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract). - Awni Y. Hannun; Chuan Guo 001; Laurens van der Maaten (IJCAI, 2022)

Star Temporal Classification: Sequence Classification with Partially Labeled Data. - Vineel Pratap; Awni Y. Hannun; Gabriel Synnaeve; Ronan Collobert (CoRR, 2022)