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Duc Le
Duc Le
Senior Staff Research Scientist, Meta AI
Bestätigte E-Mail-Adresse bei meta.com - Startseite
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Zitiert von
Zitiert von
Jahr
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
2422020
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
1552019
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
1512021
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
1292013
Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network.
D Le, Z Aldeneh, EM Provost
Interspeech, 1108-1112, 2017
802017
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
682021
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
672021
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
662021
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
652019
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
562016
Automatic quantitative analysis of spontaneous aphasic speech
D Le, K Licata, EM Provost
Speech Communication 100, 1-12, 2018
542018
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
542018
Improving Automatic Recognition of Aphasic Speech with AphasiaBank.
D Le, EM Provost
Interspeech, 2681-2685, 2016
412016
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
402021
Automatic Paraphasia Detection from Aphasic Speech: A Preliminary Study.
D Le, K Licata, EM Provost
Interspeech, 294-298, 2017
282017
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
272020
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
262014
Stop: A dataset for spoken task oriented semantic parsing
P Tomasello, A Shrivastava, D Lazar, PC Hsu, D Le, A Sagar, A Elkahky, ...
2022 IEEE Spoken Language Technology Workshop (SLT), 991-998, 2023
242023
Improved neural language model fusion for streaming recurrent neural network transducer
S Kim, Y Shangguan, J Mahadeokar, A Bruguier, C Fuegen, ML Seltzer, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
242021
Dissecting user-perceived latency of on-device E2E speech recognition
Y Shangguan, R Prabhavalkar, H Su, J Mahadeokar, Y Shi, J Zhou, C Wu, ...
arXiv preprint arXiv:2104.02207, 2021
242021
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