Liang Lu
Liang Lu
Senior Applied Scientist, Microsoft
Verified email at microsoft.com - Homepage
Title
Cited by
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Year
DEEP BEAMFORMING NETWORKS FOR MULTI-CHANNEL SPEECH RECOGNITION
X Xiao, S Watanabe, H Erdogan, L Lu, J Hershey, ML Seltzer, G Chen, ...
ICASSP, 2016
1192016
Multiplicative LSTM for sequence modelling
B Krause, L Lu, I Murray, S Renals
arXiv preprint arXiv:1609.07959, 2016
1092016
ON TRAINING THE RECURRENT NEURAL NETWORK ENCODER-DECODER FOR LARGE VOCABULARY END-TO-END SPEECH RECOGNITION
L Lu, X Zhang, S Renals
ICASSP, 2016
982016
Top-down tree long short-term memory networks
X Zhang, L Lu, M Lapata
arXiv preprint arXiv:1511.00060, 2015
94*2015
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
642016
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
642015
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
602017
Knowledge distillation for small-footprint highway networks
L Lu, M Guo, S Renals
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
552017
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
502013
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
442011
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
432016
Regularized subspace Gaussian mixture models for speech recognition
L Lu, A Ghoshal, S Renals
IEEE Signal Processing Letters 18 (7), 419-422, 2011
382011
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
282012
Cross-lingual subspace gaussian mixture models for low-resource speech recognition
L Lu, A Ghoshal, S Renals
IEEE/ACM transactions on audio, speech, and language processing 22 (1), 17-27, 2013
262013
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
252012
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
202020
Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition
L Lu, S Renals
192015
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
182017
Multitask learning with CTC and segmental CRF for speech recognition
L Lu, L Kong, C Dyer, NA Smith
arXiv preprint arXiv:1702.06378, 2017
182017
Joint Uncertainty Decoding for Noise Robust Subspace Gaussian Mixture Models
L Lu, KK Chin, A Ghoshal, S Renals
IEEE Transactions on Audio, Speech and Language Processing, 2013
182013
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