Duc Le

According to our database, Duc Le authored at least 63 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

sCL-ST: Supervised Contrastive Learning With Semantic Transformations for Multiple Lead ECG Arrhythmia Classification.

Duc Le, Sang Truong, Patel Brijesh, Donald A. Adjeroh, Ngan Le

IEEE J. Biomed. Health Informatics, June, 2023

Seq2seq for Automatic Paraphasia Detection in Aphasic Speech.

Matthew Perez, Duc Le, Amrit Romana, Elise Jones, Keli Licata, Emily Mower Provost

CoRR, 2023

StemGen: A music generation model that listens.

Julian D. Parker, Janne Spijkervet, Katerina Kosta, Furkan Yesiler, Boris Kuznetsov, Ju-Chiang Wang, Matt Avent, Jitong Chen, Duc Le

CoRR, 2023

A Foundation Model for Music Informatics.

Minz Won, Yun-Ning Hung, Duc Le

CoRR, 2023

Scaling Up Music Information Retrieval Training with Semi-Supervised Learning.

Yun-Ning Hung, Ju-Chiang Wang, Minz Won, Duc Le

CoRR, 2023

Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding.

Suyoun Kim, Akshat Shrivastava, Duc Le, Ju Lin, Ozlem Kalinli, Michael L. Seltzer

CoRR, 2023

Text Generation with Speech Synthesis for ASR Data Augmentation.

Zhuangqun Huang, Gil Keren, Ziran Jiang, Shashank Jain, David Goss-Grubbs, Nelson Cheng, Farnaz Abtahi, Duc Le, David Zhang, Antony D'Avirro, Ethan Campbell-Taylor, Jessie Salas, Irina-Elena Veliche, Xi Chen

CoRR, 2023

Learning ASR Pathways: A Sparse Multilingual ASR Model.

Mu Yang, Andros Tjandra, Chunxi Liu, David Zhang, Duc Le, Ozlem Kalinli

Proceedings of the IEEE International Conference on Acoustics, 2023

Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities.

Andros Tjandra, Nayan Singhal, David Zhang, Ozlem Kalinli, Abdelrahman Mohamed, Duc Le, Michael L. Seltzer

Proceedings of the IEEE International Conference on Acoustics, 2023

ICASSP 2023 Spoken Language Understanding Grand Challenge.

Akshat Shrivastava, Suyoun Kim, Paden Tomasello, Ali Elkahky, Daniel Lazar, Trang Le, Shan Jiang, Duc Le, Aleksandr Livshits, Ahmed Aly

Proceedings of the IEEE International Conference on Acoustics, 2023

Improving fast-slow Encoder based Transducer with Streaming Deliberation.

Ke Li, Jay Mahadeokar, Jinxi Guo, Yangyang Shi, Gil Keren, Ozlem Kalinli, Michael L. Seltzer, Duc Le

Proceedings of the IEEE International Conference on Acoustics, 2023

Factorized Blank Thresholding for Improved Runtime Efficiency of Neural Transducers.

Duc Le, Frank Seide, Yuhao Wang, Yang Li, Kjell Schubert, Ozlem Kalinli, Michael L. Seltzer

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition.

Suyoun Kim, Ke Li, Lucas Kabela, Rongqing Huang, Jiedan Zhu, Ozlem Kalinli, Duc Le

CoRR, 2022

Learning ASR pathways: A sparse multilingual ASR model.

Mu Yang, Andros Tjandra, Chunxi Liu, David Zhang, Duc Le, John H. L. Hansen, Ozlem Kalinli

CoRR, 2022

STOP: A dataset for Spoken Task Oriented Semantic Parsing.

Paden Tomasello, Akshat Shrivastava, Daniel Lazar, Po-Chun Hsu, Duc Le, Adithya Sagar, Ali Elkahky, Jade Copet, Wei-Ning Hsu, Yossef Mordechay, Robin Algayres, Tu Anh Nguyen, Emmanuel Dupoux, Luke Zettlemoyer, Abdelrahman Mohamed

CoRR, 2022

Stop: A Dataset for Spoken Task Oriented Semantic Parsing.

Paden Tomasello, Akshat Shrivastava, Daniel Lazar, Po-Chun Hsu, Duc Le, Adithya Sagar, Ali Elkahky, Jade Copet, Wei-Ning Hsu, Yossi Adi, Robin Algayres, Tu Anh Nguyen, Emmanuel Dupoux, Luke Zettlemoyer, Abdelrahman Mohamed

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

An Investigation of Monotonic Transducers for Large-Scale Automatic Speech Recognition.

Niko Moritz, Frank Seide, Duc Le, Jay Mahadeokar, Christian Fuegen

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Scaling ASR Improves Zero and Few Shot Learning.

Weiyi Zheng, Alex Xiao, Gil Keren, Duc Le, Frank Zhang, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Abdelrahman Mohamed

Proceedings of the Interspeech 2022, 2022

Streaming parallel transducer beam search with fast slow cascaded encoders.

Jay Mahadeokar, Yangyang Shi, Ke Li, Duc Le, Jiedan Zhu, Vikas Chandra, Ozlem Kalinli, Michael L. Seltzer

Proceedings of the Interspeech 2022, 2022

Deliberation Model for On-Device Spoken Language Understanding.

Duc Le, Akshat Shrivastava, Paden D. Tomasello, Suyoun Kim, Aleksandr Livshits, Ozlem Kalinli, Michael L. Seltzer

Proceedings of the Interspeech 2022, 2022

Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric.

Suyoun Kim, Duc Le, Weiyi Zheng, Tarun Singh, Abhinav Arora, Xiaoyu Zhai, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer

Proceedings of the Interspeech 2022, 2022

Neural-FST Class Language Model for End-to-End Speech Recognition.

Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer

Proceedings of the IEEE International Conference on Acoustics, 2022

Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition.

Suyoun Kim, Ke Li, Lucas Kabela, Ron Huang, Jiedan Zhu, Ozlem Kalinli, Duc Le

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning.

Thinh Phan, Duc Le, Patel Brijesh, Donald A. Adjeroh, Jingxian Wu, Morten Olgaard Jensen, Ngan Le

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios.

Jay Mahadeokar, Yangyang Shi, Yuan Shangguan, Chunyang Wu, Alex Xiao, Hang Su, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer

CoRR, 2021

Wearable Metasurface-Enabled Quasi-Yagi Antenna for UHF RFID Reader With End-Fire Radiation Along the Forearm.

Shahbaz Ahmed, Duc Le, Lauri Sydänheimo, Leena Ukkonen, Toni Björninen

IEEE Access, 2021

Alignment Restricted Streaming Recurrent Neural Network Transducer.

Jay Mahadeokar, Yuan Shangguan, Duc Le, Gil Keren, Hang Su, Thong Le, Ching-Feng Yeh, Christian Fuegen, Michael L. Seltzer

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Improving RNN Transducer Based ASR with Auxiliary Tasks.

Chunxi Liu, Frank Zhang, Duc Le, Suyoun Kim, Yatharth Saraf, Geoffrey Zweig

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Deep Shallow Fusion for RNN-T Personalization.

Duc Le, Gil Keren, Julian Chan, Jay Mahadeokar, Christian Fuegen, Michael L. Seltzer

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency.

Yangyang Shi, Varun Nagaraja, Chunyang Wu, Jay Mahadeokar, Duc Le, Rohit Prabhavalkar, Alex Xiao, Ching-Feng Yeh, Julian Chan, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Dissecting User-Perceived Latency of On-Device E2E Speech Recognition.

Yuan Shangguan, Rohit Prabhavalkar, Hang Su, Jay Mahadeokar, Yangyang Shi, Jiatong Zhou, Chunyang Wu, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Flexi-Transducer: Optimizing Latency, Accuracy and Compute for Multi-Domain On-Device Scenarios.

Jay Mahadeokar, Yangyang Shi, Yuan Shangguan, Chunyang Wu, Alex Xiao, Hang Su, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion.

Duc Le, Mahaveer Jain, Gil Keren, Suyoun Kim, Yangyang Shi, Jay Mahadeokar, Julian Chan, Yuan Shangguan, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Michael L. Seltzer

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding.

Suyoun Kim, Abhinav Arora, Duc Le, Ching-Feng Yeh, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition.

Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Mike Seltzer

Proceedings of the IEEE International Conference on Acoustics, 2021

Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer.

Suyoun Kim, Yuan Shangguan, Jay Mahadeokar, Antoine Bruguier, Christian Fuegen, Michael L. Seltzer, Duc Le

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition.

Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Michael L. Seltzer

CoRR, 2020

Weak-Attention Suppression for Transformer Based Speech Recognition.

Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer

Proceedings of the Interspeech 2020, 2020

Transformer-Based Acoustic Modeling for Hybrid Speech Recognition.

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

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR.

Duc Le, Thilo Köhler, Christian Fuegen, Michael L. Seltzer

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

ML-Assisted Monitoring and Characterization of IoT Sensor Networks.

Karine Ip, Abhijith Asok, Yijia Xu, Duc Le, Natalie Mionis, Roman Batoukov

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019

Neural network modeling of monthly salinity variations in oyster reef in Apalachicola Bay in response to freshwater inflow and winds.

Duc Le, Wenrui Huang, Elijah Johnson

Neural Comput. Appl., 2019

Transformer-Transducer: End-to-End Speech Recognition with Self-Attention.

Ching-Feng Yeh, Jay Mahadeokar, Kaustubh Kalgaonkar, Yongqiang Wang, Duc Le, Mahaveer Jain, Kjell Schubert, Christian Fuegen, Michael L. Seltzer

CoRR, 2019

The integrated National NeuroAIDS Tissue Consortium database: a rich platform for neuroHIV research.

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

Database J. Biol. Databases Curation, 2019

From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition.

Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

Automatic quantitative analysis of spontaneous aphasic speech.

Duc Le, Keli Licata, Emily Mower Provost

Speech Commun., 2018

Real-time Air Pollution prediction model based on Spatiotemporal Big data.

Duc Le

CoRR, 2018

Classification of Huntington Disease Using Acoustic and Lexical Features.

Matthew Perez, Wenyu Jin, Duc Le, Noelle Carlozzi, Praveen Dayalu, Angela Roberts, Emily Mower Provost

Proceedings of the Interspeech 2018, 2018

2017

Towards Automatic Speech-Language Assessment for Aphasia Rehabilitation.

Duc Le

PhD thesis, 2017

Automatic Paraphasia Detection from Aphasic Speech: A Preliminary Study.

Duc Le, Keli Licata, Emily Mower Provost

Proceedings of the Interspeech 2017, 2017

Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network.

Duc Le, Zakaria Aldeneh, Emily Mower Provost

Proceedings of the Interspeech 2017, 2017

2016

Automatic Assessment of Speech Intelligibility for Individuals With Aphasia.

Duc Le, Keli Licata, Carol Persad, Emily Mower Provost

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Improving Automatic Recognition of Aphasic Speech with AphasiaBank.

Duc Le, Emily Mower Provost

Proceedings of the Interspeech 2016, 2016

Wild wild emotion: a multimodal ensemble approach.

John Gideon, Biqiao Zhang, Zakaria Aldeneh, Yelin Kim, Soheil Khorram, Duc Le, Emily Mower Provost

Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

2015

Data selection for acoustic emotion recognition: Analyzing and comparing utterance and sub-utterance selection strategies.

Duc Le, Emily Mower Provost

Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2014

MuCheck: an extensible tool for mutation testing of haskell programs.

Duc Le, Mohammad Amin Alipour, Rahul Gopinath, Alex Groce

Proceedings of the International Symposium on Software Testing and Analysis, 2014

Modeling pronunciation, rhythm, and intonation for automatic assessment of speech quality in aphasia rehabilitation.

Duc Le, Emily Mower Provost

Proceedings of the INTERSPEECH 2014, 2014

Automatic analysis of speech quality for aphasia treatment.

Duc Le, Keli Licata, Elizabeth Mercado, Carol Persad, Emily Mower Provost

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

A preliminary study of cross-lingual emotion recognition from speech: automatic classification versus human perception.

Je Hun Jeon, Duc Le, Rui Xia, Yang Liu

Proceedings of the INTERSPEECH 2013, 2013

Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks.

Duc Le, Emily Mower Provost

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2011

#ifdef confirmed harmful: Promoting understandable software variation.

Duc Le, Eric Walkingshaw, Martin Erwig

Proceedings of the 2011 IEEE Symposium on Visual Languages and Human-Centric Computing, 2011

Support for software variation editing.

Duc Le

Proceedings of the 2011 IEEE Symposium on Visual Languages and Human-Centric Computing, 2011

2005

A 10.24GSPS photonic sampled bandpass ΔΣ modulator direct-sampling at 12GHz.

Louis Luh, Willie Ng, Joseph F. Jensen, Duc Le, David L. Persechini, Stephen Thomas III, Charles H. Fields, James Lin

Proceedings of the IEEE 2005 Custom Integrated Circuits Conference, 2005