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2020 – today
- 2020
[c19]Karine Ip, Abhijith Asok, Yijia Xu, Duc Le, Natalie Mionis, Roman Batoukov:
ML-Assisted Monitoring and Characterization of IoT Sensor Networks. EAIS 2020: 1-8- [c18]Duc Le, Thilo Köhler, Christian Fliegen, Michael L. Seltzer:
G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR. ICASSP 2020: 6869-6873 - [c17]Yongqiang Wang, Abdelrahman Mohamed, Duc Le, Chunxi Liu, Alex Xiao, Jay Mahadeokar, Hongzhao Huang, Andros Tjandra, Xiaohui Zhang, Frank Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer:
Transformer-Based Acoustic Modeling for Hybrid Speech Recognition. ICASSP 2020: 6874-6878 - [c16]Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer:
Weak-Attention Suppression for Transformer Based Speech Recognition. INTERSPEECH 2020: 4996-5000 - [i12]Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer:
Weak-Attention Suppression For Transformer Based Speech Recognition. CoRR abs/2005.09137 (2020) - [i11]Matthew Perez, Wenyu Jin, Duc Le, Noelle Carlozzi, Praveen Dayalu, Angela Roberts, Emily Mower Provost:
Classification of Huntington Disease using Acoustic and Lexical Features. CoRR abs/2008.03367 (2020) - [i10]Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Michael L. Seltzer:
Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition. CoRR abs/2010.10759 (2020) - [i9]Suyoun Kim, Yuan Shangguan, Jay Mahadeokar, Antoine Bruguier, Christian Fuegen, Michael L. Seltzer, Duc Le:
Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer. CoRR abs/2010.13878 (2020) - [i8]Jay Mahadeokar, Yuan Shangguan, Duc Le, Gil Keren, Hang Su, Thong Le, Ching-Feng Yeh, Christian Fuegen, Michael L. Seltzer:
Alignment Restricted Streaming Recurrent Neural Network Transducer. CoRR abs/2011.03072 (2020) - [i7]Chunxi Liu, Frank Zhang, Duc Le, Suyoun Kim, Yatharth Saraf, Geoffrey Zweig:
Improving RNN Transducer Based ASR with Auxiliary Tasks. CoRR abs/2011.03109 (2020) - [i6]Duc Le, Gil Keren, Julian Chan, Jay Mahadeokar, Christian Fuegen, Michael L. Seltzer:
Deep Shallow Fusion for RNN-T Personalization. CoRR abs/2011.07754 (2020)
2010 – 2019
- 2019
- [j4]Abigail J. Heithoff, Steven A. Totusek, Duc Le, Lucas Barwick, Gary Gensler, Donald R. Franklin, Allison C. Dye, Sanjit Pandey, Seth Sherman, Chittibabu Guda, Howard S. Fox
:
The integrated National NeuroAIDS Tissue Consortium database: a rich platform for neuroHIV research. Database J. Biol. Databases Curation 2019: bay134 (2019) - [j3]Duc Le, Wenrui Huang, Elijah Johnson:
Neural network modeling of monthly salinity variations in oyster reef in Apalachicola Bay in response to freshwater inflow and winds. Neural Comput. Appl. 31(10): 6249-6259 (2019) - [c15]Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer:
From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition. ASRU 2019: 457-464 - [i5]Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer:
From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition. CoRR abs/1910.01493 (2019) - [i4]Yongqiang Wang, Abdelrahman Mohamed, Duc Le, Chunxi Liu, Alex Xiao, Jay Mahadeokar, Hongzhao Huang, Andros Tjandra, Xiaohui Zhang, Frank Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer:
Transformer-based Acoustic Modeling for Hybrid Speech Recognition. CoRR abs/1910.09799 (2019) - [i3]Duc Le, Thilo Köhler, Christian Fuegen, Michael L. Seltzer:
G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR. CoRR abs/1910.12612 (2019) - [i2]Ching-Feng Yeh, Jay Mahadeokar, Kaustubh Kalgaonkar, Yongqiang Wang, Duc Le, Mahaveer Jain, Kjell Schubert, Christian Fuegen, Michael L. Seltzer:
Transformer-Transducer: End-to-End Speech Recognition with Self-Attention. CoRR abs/1910.12977 (2019) - 2018
- [j2]Duc Le, Keli Licata, Emily Mower Provost:
Automatic quantitative analysis of spontaneous aphasic speech. Speech Commun. 100: 1-12 (2018) - [c14]Matthew Perez, Wenyu Jin, Duc Le, Noelle Carlozzi, Praveen Dayalu, Angela Roberts, Emily Mower Provost:
Classification of Huntington Disease Using Acoustic and Lexical Features. INTERSPEECH 2018: 1898-1902 - [i1]Duc Le:
Real-time Air Pollution prediction model based on Spatiotemporal Big data. CoRR abs/1805.00432 (2018) - 2017
- [c13]Duc Le, Keli Licata, Emily Mower Provost:
Automatic Paraphasia Detection from Aphasic Speech: A Preliminary Study. INTERSPEECH 2017: 294-298 - [c12]Duc Le, Zakaria Aldeneh, Emily Mower Provost:
Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network. INTERSPEECH 2017: 1108-1112 - 2016
- [j1]Duc Le, Keli Licata, Carol Persad, Emily Mower Provost:
Automatic Assessment of Speech Intelligibility for Individuals With Aphasia. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2187-2199 (2016) - [c11]John Gideon, Biqiao Zhang, Zakaria Aldeneh, Yelin Kim, Soheil Khorram, Duc Le, Emily Mower Provost:
Wild wild emotion: a multimodal ensemble approach. ICMI 2016: 501-505 - [c10]Duc Le, Emily Mower Provost:
Improving Automatic Recognition of Aphasic Speech with AphasiaBank. INTERSPEECH 2016: 2681-2685 - 2015
- [c9]Duc Le, Emily Mower Provost:
Data selection for acoustic emotion recognition: Analyzing and comparing utterance and sub-utterance selection strategies. ACII 2015: 146-152 - 2014
- [c8]Duc Le, Keli Licata, Elizabeth Mercado, Carol Persad, Emily Mower Provost:
Automatic analysis of speech quality for aphasia treatment. ICASSP 2014: 4853-4857 - [c7]Duc Le, Emily Mower Provost:
Modeling pronunciation, rhythm, and intonation for automatic assessment of speech quality in aphasia rehabilitation. INTERSPEECH 2014: 1563-1567 - [c6]Duc Le, Mohammad Amin Alipour, Rahul Gopinath, Alex Groce:
MuCheck: an extensible tool for mutation testing of haskell programs. ISSTA 2014: 429-432 - 2013
- [c5]Duc Le, Emily Mower Provost:
Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks. ASRU 2013: 216-221 - [c4]Je Hun Jeon, Duc Le, Rui Xia, Yang Liu:
A preliminary study of cross-lingual emotion recognition from speech: automatic classification versus human perception. INTERSPEECH 2013: 2837-2840 - 2011
- [c3]Duc Le, Eric Walkingshaw, Martin Erwig:
#ifdef confirmed harmful: Promoting understandable software variation. VL/HCC 2011: 143-150 - [c2]Duc Le:
Support for software variation editing. VL/HCC 2011: 233-234
2000 – 2009
- 2005
- [c1]Louis Luh, Willie Ng, Joseph F. Jensen, Duc Le, David L. Persechini, Stephen Thomas, Charles H. Fields, James Lin:
A 10.24GSPS photonic sampled bandpass /spl Delta//spl Sigma/ modulator direct-sampling at 12GHz. CICC 2005: 387-390
Coauthor Index
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