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Liang Lu 0001
Person information
- affiliation: Microsoft, Bellevue, WA, USA
- affiliation (former): Toyota Technological Institute at Chicago, Chicago, IL, USA
- affiliation (former): University of Edinburgh, Centre for Speech Technology Research, UK
Other persons with the same name
- Liang Lu — disambiguation page
- Liang Lu 0002 — Beijing University of Posts and Telecommunications, Beijing, China
- Liang Lu 0003
— Sichuan University, College of Electronics and Information Engineering, China
- Liang Lu 0004
- Liang Lu 0005
- Liang Lu 0006
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2020 – today
- 2022
- [c42]Liang Lu, Jinyu Li
Endpoint Detection for Streaming End-to-End Multi-Talker ASR. ICASSP 2022: 7312-7316 - [c41]Desh Raj
Continuous Streaming Multi-Talker ASR with Dual-Path Transducers. ICASSP 2022: 7317-7321 - [i27]Liang Lu, Jinyu Li, Yifan Gong:
Endpoint Detection for Streaming End-to-End Multi-talker ASR. CoRR abs/2201.09979 (2022) - 2021
- [j7]Liang Lu
Streaming End-to-End Multi-Talker Speech Recognition. IEEE Signal Process. Lett. 28: 803-807 (2021) - [c40]Eric Sun, Liang Lu, Zhong Meng, Yifan Gong:
Sequence-Level Self-Teaching Regularization. ICASSP 2021: 2945-2949 - [c39]Naoyuki Kanda, Zhong Meng, Liang Lu, Yashesh Gaur, Xiaofei Wang, Zhuo Chen, Takuya Yoshioka:
Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR. ICASSP 2021: 6503-6507 - [c38]Zhong Meng, Naoyuki Kanda, Yashesh Gaur, Sarangarajan Parthasarathy, Eric Sun, Liang Lu, Xie Chen, Jinyu Li
Internal Language Model Training for Domain-Adaptive End-To-End Speech Recognition. ICASSP 2021: 7338-7342 - [c37]Liang Lu, Naoyuki Kanda, Jinyu Li
Streaming Multi-Talker Speech Recognition with Joint Speaker Identification. Interspeech 2021: 1782-1786 - [c36]Zhong Meng, Yu Wu, Naoyuki Kanda, Liang Lu, Xie Chen, Guoli Ye, Eric Sun, Jinyu Li
Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition. Interspeech 2021: 2596-2600 - [c35]Liang Lu, Zhong Meng, Naoyuki Kanda, Jinyu Li
On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer. Interspeech 2021: 3435-3439 - [c34]Zhong Meng, Sarangarajan Parthasarathy, Eric Sun, Yashesh Gaur, Naoyuki Kanda, Liang Lu, Xie Chen, Rui Zhao, Jinyu Li
Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition. SLT 2021: 243-250 - [i26]Zhong Meng, Naoyuki Kanda, Yashesh Gaur, Sarangarajan Parthasarathy, Eric Sun, Liang Lu, Xie Chen, Jinyu Li, Yifan Gong:
Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition. CoRR abs/2102.01380 (2021) - [i25]Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong:
Streaming Multi-talker Speech Recognition with Joint Speaker Identification. CoRR abs/2104.02109 (2021) - [i24]Zhong Meng, Yu Wu, Naoyuki Kanda, Liang Lu, Xie Chen, Guoli Ye, Eric Sun, Jinyu Li, Yifan Gong:
Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition. CoRR abs/2106.02302 (2021) - [i23]Desh Raj, Liang Lu, Zhuo Chen, Yashesh Gaur, Jinyu Li:
Continuous Streaming Multi-Talker ASR with Dual-path Transducers. CoRR abs/2109.08555 (2021) - 2020
- [c33]Hirofumi Inaguma, Yashesh Gaur, Liang Lu, Jinyu Li
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR. ICASSP 2020: 6064-6068 - [c32]Hu Hu, Rui Zhao, Jinyu Li
Exploring Pre-Training with Alignments for RNN Transducer Based End-to-End Speech Recognition. ICASSP 2020: 7079-7083 - [c31]Zhuo Chen, Takuya Yoshioka, Liang Lu, Tianyan Zhou, Zhong Meng, Yi Luo, Jian Wu, Xiong Xiao, Jinyu Li
Continuous Speech Separation: Dataset and Analysis. ICASSP 2020: 7284-7288 - [c30]Chengyi Wang, Yu Wu, Yujiao Du, Jinyu Li
Semantic Mask for Transformer Based End-to-End Speech Recognition. INTERSPEECH 2020: 971-975 - [c29]Jeremy Heng Meng Wong, Yashesh Gaur, Rui Zhao, Liang Lu, Eric Sun, Jinyu Li
Combination of End-to-End and Hybrid Models for Speech Recognition. INTERSPEECH 2020: 1783-1787 - [c28]Chengyi Wang, Yu Wu, Liang Lu, Shujie Liu, Jinyu Li
Low Latency End-to-End Streaming Speech Recognition with a Scout Network. INTERSPEECH 2020: 2112-2116 - [c27]Liang Lu, Changliang Liu, Jinyu Li
Exploring Transformers for Large-Scale Speech Recognition. INTERSPEECH 2020: 5041-5045 - [i22]Zhuo Chen, Takuya Yoshioka, Liang Lu, Tianyan Zhou, Zhong Meng, Yi Luo, Jian Wu, Jinyu Li:
Continuous speech separation: dataset and analysis. CoRR abs/2001.11482 (2020) - [i21]Hirofumi Inaguma, Yashesh Gaur, Liang Lu, Jinyu Li, Yifan Gong:
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR. CoRR abs/2004.05009 (2020) - [i20]Hu Hu, Rui Zhao, Jinyu Li, Liang Lu, Yifan Gong:
Exploring Pre-training with Alignments for RNN Transducer based End-to-End Speech Recognition. CoRR abs/2005.00572 (2020) - [i19]Liang Lu, Changliang Liu, Jinyu Li, Yifan Gong:
Exploring Transformers for Large-Scale Speech Recognition. CoRR abs/2005.09684 (2020) - [i18]Liang Lu, Zhong Meng, Naoyuki Kanda, Jinyu Li, Yifan Gong:
On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer. CoRR abs/2010.12673 (2020) - [i17]Zhong Meng, Sarangarajan Parthasarathy, Eric Sun, Yashesh Gaur, Naoyuki Kanda, Liang Lu, Xie Chen, Rui Zhao, Jinyu Li, Yifan Gong:
Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition. CoRR abs/2011.01991 (2020) - [i16]Naoyuki Kanda, Zhong Meng, Liang Lu, Yashesh Gaur, Xiaofei Wang, Zhuo Chen, Takuya Yoshioka:
Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR. CoRR abs/2011.02921 (2020) - [i15]Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong:
Streaming end-to-end multi-talker speech recognition. CoRR abs/2011.13148 (2020)
2010 – 2019
- 2019
- [c26]Peidong Wang, Zhuo Chen, Xiong Xiao, Zhong Meng, Takuya Yoshioka, Tianyan Zhou, Liang Lu, Jinyu Li
Speech Separation Using Speaker Inventory. ASRU 2019: 230-236 - [c25]Jinyu Li
Improving Layer Trajectory LSTM with Future Context Frames. ICASSP 2019: 6550-6554 - [c24]Liang Lu, Eric Sun, Yifan Gong:
Self-Teaching Networks. INTERSPEECH 2019: 2798-2802 - [i14]Liang Lu, Xiong Xiao, Zhuo Chen, Yifan Gong:
PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorch. CoRR abs/1907.05955 (2019) - [i13]Liang Lu, Eric Sun, Yifan Gong:
Self-Teaching Networks. CoRR abs/1909.04157 (2019) - [i12]Chengyi Wang, Yu Wu, Yujiao Du, Jinyu Li, Shujie Liu, Liang Lu, Shuo Ren, Guoli Ye, Sheng Zhao, Ming Zhou:
Semantic Mask for Transformer based End-to-End Speech Recognition. CoRR abs/1912.03010 (2019) - 2018
- [c23]Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu:
A Study of All-Convolutional Encoders for Connectionist Temporal Classification. ICASSP 2018: 5814-5818 - [c22]Jinyu Li
Exploring Layer Trajectory LSTM with Depth Processing Units and Attention. SLT 2018: 456-462 - 2017
- [j6]Hao Tang
End-to-End Neural Segmental Models for Speech Recognition. IEEE J. Sel. Top. Signal Process. 11(8): 1254-1264 (2017) - [j5]Liang Lu, Steve Renals
Small-Footprint Highway Deep Neural Networks for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25(7): 1502-1511 (2017) - [c21]Liang Lu, Michelle Guo, Steve Renals
Knowledge distillation for small-footprint highway networks. ICASSP 2017: 4820-4824 - [c20]Ben Krause, Iain Murray, Steve Renals, Liang Lu:
Multiplicative LSTM for sequence modelling. ICLR (Workshop) 2017 - [c19]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Multitask Learning with CTC and Segmental CRF for Speech Recognition. INTERSPEECH 2017: 954-958 - [c18]Shubham Toshniwal, Hao Tang, Liang Lu, Karen Livescu:
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition. INTERSPEECH 2017: 3532-3536 - [p1]Xiong Xiao, Shinji Watanabe, Hakan Erdogan, Michael I. Mandel, Liang Lu, John R. Hershey, Michael L. Seltzer, Guoguo Chen, Yu Zhang, Dong Yu:
Discriminative Beamforming with Phase-Aware Neural Networks for Speech Enhancement and Recognition. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 79-104 - [i11]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Multi-task Learning with CTC and Segmental CRF for Speech Recognition. CoRR abs/1702.06378 (2017) - [i10]Shubham Toshniwal, Hao Tang, Liang Lu, Karen Livescu:
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition. CoRR abs/1704.01631 (2017) - [i9]Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals:
End-to-End Neural Segmental Models for Speech Recognition. CoRR abs/1708.00531 (2017) - [i8]Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu:
A Study of All-Convolutional Encoders for Connectionist Temporal Classification. CoRR abs/1710.10398 (2017) - 2016
- [c17]Liang Lu, Xingxing Zhang, Steve Renals
On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition. ICASSP 2016: 5060-5064 - [c16]Tian Tan, Yanmin Qian, Dong Yu, Souvik Kundu, Liang Lu, Khe Chai Sim, Xiong Xiao, Yu Zhang:
Speaker-aware training of LSTM-RNNS for acoustic modelling. ICASSP 2016: 5280-5284 - [c15]Xiong Xiao, Shinji Watanabe
Deep beamforming networks for multi-channel speech recognition. ICASSP 2016: 5745-5749 - [c14]Liang Lu, Steve Renals
Small-Footprint Deep Neural Networks with Highway Connections for Speech Recognition. INTERSPEECH 2016: 12-16 - [c13]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals
Segmental Recurrent Neural Networks for End-to-End Speech Recognition. INTERSPEECH 2016: 385-389 - [c12]Xingxing Zhang, Liang Lu, Mirella Lapata:
Top-down Tree Long Short-Term Memory Networks. HLT-NAACL 2016: 310-320 - [i7]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals:
Segmental Recurrent Neural Networks for End-to-end Speech Recognition. CoRR abs/1603.00223 (2016) - [i6]Liang Lu, Michelle Guo, Steve Renals:
Knowledge Distillation for Small-footprint Highway Networks. CoRR abs/1608.00892 (2016) - [i5]Ben Krause, Liang Lu, Iain Murray, Steve Renals:
Multiplicative LSTM for sequence modelling. CoRR abs/1609.07959 (2016) - [i4]Liang Lu, Steve Renals:
Small-footprint Highway Deep Neural Networks for Speech Recognition. CoRR abs/1610.05812 (2016) - 2015
- [c11]Liang Lu, Steve Renals
Multi-frame factorisation for long-span acoustic modelling. ICASSP 2015: 4595-4599 - [c10]Liang Lu, Steve Renals:
Feature-space speaker adaptation for probabilistic linear discriminant analysis acoustic models. INTERSPEECH 2015: 2862-2866 - [c9]Liang Lu, Xingxing Zhang, Kyunghyun Cho, Steve Renals:
A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition. INTERSPEECH 2015: 3249-3253 - [i3]Xingxing Zhang, Liang Lu, Mirella Lapata:
Tree Recurrent Neural Networks with Application to Language Modeling. CoRR abs/1511.00060 (2015) - [i2]Liang Lu, Steve Renals:
Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition. CoRR abs/1512.04280 (2015) - 2014
- [j4]Liang Lu, Steve Renals
Probabilistic Linear Discriminant Analysis for Acoustic Modeling. IEEE Signal Process. Lett. 21(6): 702-706 (2014) - [j3]Liang Lu, Arnab Ghoshal, Steve Renals
Cross-Lingual Subspace Gaussian Mixture Models for Low-Resource Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(1): 17-27 (2014) - [c8]Liang Lu, Steve Renals:
Probabilistic linear discriminant analysis with bottleneck features for speech recognition. INTERSPEECH 2014: 910-914 - [i1]Liang Lu, Steve Renals:
Tied Probabilistic Linear Discriminant Analysis for Speech Recognition. CoRR abs/1411.0895 (2014) - 2013
- [b1]Liang Lu:
Subspace Gaussian mixture models for automatic speech recognition. University of Edinburgh, UK, 2013 - [j2]Liang Lu, K. K. Chin, Arnab Ghoshal, Stephen Renals
Joint Uncertainty Decoding for Noise Robust Subspace Gaussian Mixture Models. IEEE Trans. Speech Audio Process. 21(9): 1791-1804 (2013) - [c7]Liang Lu, Arnab Ghoshal, Steve Renals
Acoustic data-driven pronunciation lexicon for large vocabulary speech recognition. ASRU 2013: 374-379 - [c6]Liang Lu, Arnab Ghoshal, Steve Renals:
Noise adaptive training for subspace Gaussian mixture models. INTERSPEECH 2013: 3492-3496 - 2012
- [c5]Liang Lu, Arnab Ghoshal, Steve Renals
Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition. ICASSP 2012: 4877-4880 - [c4]Liang Lu, Arnab Ghoshal, Steve Renals:
Joint uncertainty decoding with unscented transform for noise robust subspace Gaussian mixture models. SAPA@INTERSPEECH 2012: 40-45 - [c3]Liang Lu, K. K. Chin, Arnab Ghoshal, Steve Renals:
Noise Compensation for Subspace Gaussian Mixture Models. INTERSPEECH 2012: 306-309 - 2011
- [j1]Liang Lu, Arnab Ghoshal, Steve Renals:
Regularized Subspace Gaussian Mixture Models for Speech Recognition. IEEE Signal Process. Lett. 18(7): 419-422 (2011) - [c2]Liang Lu, Arnab Ghoshal, Steve Renals
Regularized subspace Gaussian mixture models for cross-lingual speech recognition. ASRU 2011: 365-370 - 2010
- [c1]Ken'ichi Kumatani, Liang Lu, John W. McDonough, Arnab Ghoshal, Dietrich Klakow:
Maximum negentropy beamforming with superdirectivity. EUSIPCO 2010: 2067-2071
Coauthor Index
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