Duc Le
Duc Le
Research Scientist Manager, Meta AI
Verified email at - Homepage
Cited by
Cited by
Transformer-based acoustic modeling for hybrid speech recognition
Y Wang, A Mohamed, D Le, C Liu, A Xiao, J Mahadeokar, H Huang, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Emotion recognition from spontaneous speech using hidden markov models with deep belief networks
D Le, EM Provost
2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 216-221, 2013
Transformer-transducer: End-to-end speech recognition with self-attention
CF Yeh, J Mahadeokar, K Kalgaonkar, Y Wang, D Le, M Jain, K Schubert, ...
arXiv preprint arXiv:1910.12977, 2019
From senones to chenones: Tied context-dependent graphemes for hybrid speech recognition
D Le, X Zhang, W Zheng, C Fügen, G Zweig, ML Seltzer
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
Emformer: Efficient memory transformer based acoustic model for low latency streaming speech recognition
Y Shi, Y Wang, C Wu, CF Yeh, J Chan, F Zhang, D Le, M Seltzer
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network.
D Le, Z Aldeneh, EM Provost
Interspeech, 1108-1112, 2017
Automatic assessment of speech intelligibility for individuals with aphasia
D Le, K Licata, C Persad, EM Provost
IEEE/ACM transactions on audio, speech, and language processing 24 (11 …, 2016
Classification of huntington disease using acoustic and lexical features
M Perez, W Jin, D Le, N Carlozzi, P Dayalu, A Roberts, EM Provost
Interspeech 2018, 1898, 2018
Automatic quantitative analysis of spontaneous aphasic speech
D Le, K Licata, EM Provost
Speech Communication 100, 1-12, 2018
Improving Automatic Recognition of Aphasic Speech with AphasiaBank.
D Le, EM Provost
Interspeech, 2681-2685, 2016
Alignment restricted streaming recurrent neural network transducer
J Mahadeokar, Y Shangguan, D Le, G Keren, H Su, T Le, CF Yeh, ...
2021 IEEE Spoken Language Technology Workshop (SLT), 52-59, 2021
Improving RNN transducer based ASR with auxiliary tasks
C Liu, F Zhang, D Le, S Kim, Y Saraf, G Zweig
2021 IEEE Spoken Language Technology Workshop (SLT), 172-179, 2021
Modeling pronunciation, rhythm, and intonation for automatic assessment of speech quality in aphasia rehabilitation
D Le, EM Provost
Fifteenth Annual Conference of the International Speech Communication …, 2014
Deep shallow fusion for RNN-T personalization
D Le, G Keren, J Chan, J Mahadeokar, C Fuegen, ML Seltzer
2021 IEEE Spoken Language Technology Workshop (SLT), 251-257, 2021
Weak-attention suppression for transformer based speech recognition
Y Shi, Y Wang, C Wu, C Fuegen, F Zhang, D Le, CF Yeh, ML Seltzer
arXiv preprint arXiv:2005.09137, 2020
Automatic analysis of speech quality for aphasia treatment
D Le, K Licata, E Mercado, C Persad, EM Provost
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Contextualized streaming end-to-end speech recognition with trie-based deep biasing and shallow fusion
D Le, M Jain, G Keren, S Kim, Y Shi, J Mahadeokar, J Chan, ...
arXiv preprint arXiv:2104.02194, 2021
Automatic Paraphasia Detection from Aphasic Speech: A Preliminary Study.
D Le, K Licata, EM Provost
Interspeech, 294-298, 2017
Data selection for acoustic emotion recognition: Analyzing and comparing utterance and sub-utterance selection strategies
D Le, EM Provost
2015 International Conference on Affective Computing and Intelligent …, 2015
A preliminary study of cross-lingual emotion recognition from speech: automatic classification versus human perception.
JH Jeon, D Le, R Xia, Y Liu
Interspeech, 2837-2840, 2013
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