Следене
Liang Lu
Liang Lu
Staff Speech Scientist, Otter.ai
Потвърден имейл адрес: ttic.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
Multiplicative LSTM for sequence modelling
B Krause, L Lu, I Murray, S Renals
arXiv preprint arXiv:1609.07959, 2016
2432016
DEEP BEAMFORMING NETWORKS FOR MULTI-CHANNEL SPEECH RECOGNITION
X Xiao, S Watanabe, H Erdogan, L Lu, J Hershey, ML Seltzer, G Chen, ...
ICASSP, 2016
2122016
Continuous speech separation: Dataset and analysis
Z Chen, T Yoshioka, L Lu, T Zhou, Z Meng, Y Luo, J Wu, X Xiao, J Li
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
2002020
ON TRAINING THE RECURRENT NEURAL NETWORK ENCODER-DECODER FOR LARGE VOCABULARY END-TO-END SPEECH RECOGNITION
L Lu, X Zhang, S Renals
ICASSP, 2016
1542016
Multitask learning with low-level auxiliary tasks for encoder-decoder based speech recognition
S Toshniwal, H Tang, L Lu, K Livescu
arXiv preprint arXiv:1704.01631, 2017
1282017
A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition
L Lu, X Zhang, K Cho, S Renals
INTERSPEECH 2015 16th Annual Conference of the International Speech …, 2015
1272015
Top-down tree long short-term memory networks
X Zhang, L Lu, M Lapata
arXiv preprint arXiv:1511.00060, 2015
126*2015
Internal language model estimation for domain-adaptive end-to-end speech recognition
Z Meng, S Parthasarathy, E Sun, Y Gaur, N Kanda, L Lu, X Chen, R Zhao, ...
2021 IEEE Spoken Language Technology Workshop (SLT), 243-250, 2021
1002021
Knowledge distillation for small-footprint highway networks
L Lu, M Guo, S Renals
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
952017
Segmental recurrent neural networks for end-to-end speech recognition
L Lu, L Kong, C Dyer, NA Smith, S Renals
arXiv preprint arXiv:1603.00223, 2016
772016
Low latency end-to-end streaming speech recognition with a scout network
C Wang, Y Wu, S Liu, J Li, L Lu, G Ye, M Zhou
arXiv preprint arXiv:2003.10369, 2020
592020
Minimum latency training strategies for streaming sequence-to-sequence ASR
H Inaguma, Y Gaur, L Lu, J Li, Y Gong
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
552020
Acoustic data-driven pronunciation lexicon for large vocabulary speech recognition
L Lu, A Ghoshal, S Renals
2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 374-379, 2013
552013
SPEAKER-AWARE TRAINING OF LSTM-RNNS FOR ACOUSTIC MODELLING
T Tan, Y Qian, D Yu, S Kundu, L Lu, KC SIM, X Xiao, Y Zhang
ICASSP, 2016
512016
Internal language model training for domain-adaptive end-to-end speech recognition
Z Meng, N Kanda, Y Gaur, S Parthasarathy, E Sun, L Lu, X Chen, J Li, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
502021
Exploring transformers for large-scale speech recognition
L Lu, C Liu, J Li, Y Gong
arXiv preprint arXiv:2005.09684, 2020
502020
Semantic mask for transformer based end-to-end speech recognition
C Wang, Y Wu, Y Du, J Li, S Liu, L Lu, S Ren, G Ye, S Zhao, M Zhou
arXiv preprint arXiv:1912.03010, 2019
482019
Regularized subspace Gaussian mixture models for cross-lingual speech recognition
L Lu, A Ghoshal, S Renals
2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 365-370, 2011
452011
Regularized subspace Gaussian mixture models for speech recognition
L Lu, A Ghoshal, S Renals
IEEE Signal Processing Letters 18 (7), 419-422, 2011
412011
End-to-end neural segmental models for speech recognition
H Tang, L Lu, L Kong, K Gimpel, K Livescu, C Dyer, NA Smith, S Renals
IEEE Journal of Selected Topics in Signal Processing 11 (8), 1254-1264, 2017
392017
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20