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Liang Lu
Liang Lu
Staff Speech Scientist, Otter.ai
在 ttic.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Multiplicative LSTM for sequence modelling
B Krause, L Lu, I Murray, S Renals
arXiv preprint arXiv:1609.07959, 2016
1822016
DEEP BEAMFORMING NETWORKS FOR MULTI-CHANNEL SPEECH RECOGNITION
X Xiao, S Watanabe, H Erdogan, L Lu, J Hershey, ML Seltzer, G Chen, ...
ICASSP, 2016
1762016
ON TRAINING THE RECURRENT NEURAL NETWORK ENCODER-DECODER FOR LARGE VOCABULARY END-TO-END SPEECH RECOGNITION
L Lu, X Zhang, S Renals
ICASSP, 2016
1292016
Top-down tree long short-term memory networks
X Zhang, L Lu, M Lapata
arXiv preprint arXiv:1511.00060, 2015
114*2015
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
1102020
A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition
L Lu, X Zhang, K Cho, S Renals
Sixteenth Annual Conference of the International Speech Communication …, 2015
1042015
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
1002017
Knowledge distillation for small-footprint highway networks
L Lu, M Guo, S Renals
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
812017
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
632016
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
532013
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
492016
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
462011
Regularized subspace Gaussian mixture models for speech recognition
L Lu, A Ghoshal, S Renals
IEEE Signal Processing Letters 18 (7), 419-422, 2011
402011
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
392019
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
382020
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
38*2020
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
362021
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
342017
Noise-robust whispered speech recognition using a non-audible-murmur microphone with VTS compensation
CY Yang, G Brown, L Lu, J Yamagishi, S King
2012 8th International Symposium on Chinese Spoken Language Processing, 220-223, 2012
312012
Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition
L Lu, A Ghoshal, S Renals
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
292012
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