Liang Lu

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 63

Top Topics

Speech Recognition

Gaussian Mixture

Word Error Rate

Top Venues

Publications

Desh Raj, Liang Lu, Zhuo Chen, Yashesh Gaur, Jinyu Li
Continuous Streaming Multi-Talker ASR with Dual-Path Transducers. ICASSP (2022)
Liang Lu, Jinyu Li, Yifan Gong
Endpoint Detection for Streaming End-to-End Multi-Talker ASR. ICASSP (2022)
Liang Lu, Jinyu Li, Yifan Gong
Endpoint Detection for Streaming End-to-End Multi-talker ASR. CoRR (2022)
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. SLT (2021)
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. ICASSP (2021)
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 (2021)
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 (2021)
Eric Sun, Liang Lu, Zhong Meng, Yifan Gong
Sequence-Level Self-Teaching Regularization. ICASSP (2021)
Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong
Streaming Multi-talker Speech Recognition with Joint Speaker Identification. CoRR (2021)
Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong
Streaming Multi-Talker Speech Recognition with Joint Speaker Identification. Interspeech (2021)
Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong
Streaming End-to-End Multi-Talker Speech Recognition. IEEE Signal Process. Lett. 28 (2021)
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. Interspeech (2021)
Liang Lu, Zhong Meng, Naoyuki Kanda, Jinyu Li, Yifan Gong
On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer. Interspeech (2021)
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)
Desh Raj, Liang Lu, Zhuo Chen, Yashesh Gaur, Jinyu Li
Continuous Streaming Multi-Talker ASR with Dual-path Transducers. CoRR (2021)
Jeremy H. M. Wong, Yashesh Gaur, Rui Zhao, Liang Lu, Eric Sun, Jinyu Li, Yifan Gong
Combination of End-to-End and Hybrid Models for Speech Recognition. INTERSPEECH (2020)
Liang Lu, Zhong Meng, Naoyuki Kanda, Jinyu Li, Yifan Gong
On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer. CoRR (2020)
Liang Lu, Changliang Liu, Jinyu Li, Yifan Gong
Exploring Transformers for Large-Scale Speech Recognition. INTERSPEECH (2020)
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 (2020)
Zhuo Chen, Takuya Yoshioka, Liang Lu, Tianyan Zhou, Zhong Meng, Yi Luo, Jian Wu, Jinyu Li
Continuous speech separation: dataset and analysis. CoRR (2020)
Hirofumi Inaguma, Yashesh Gaur, Liang Lu, Jinyu Li, Yifan Gong
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR. CoRR (2020)
Hu Hu, Rui Zhao, Jinyu Li, Liang Lu, Yifan Gong
Exploring Pre-Training with Alignments for RNN Transducer Based End-to-End Speech Recognition. ICASSP (2020)
Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong
Streaming end-to-end multi-talker speech recognition. CoRR (2020)
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 (2020)
Hirofumi Inaguma, Yashesh Gaur, Liang Lu, Jinyu Li, Yifan Gong
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR. ICASSP (2020)
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)
Liang Lu, Changliang Liu, Jinyu Li, Yifan Gong
Exploring Transformers for Large-Scale Speech Recognition. CoRR (2020)
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 (2020)
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. INTERSPEECH (2020)
Chengyi Wang, Yu Wu, Liang Lu, Shujie Liu, Jinyu Li, Guoli Ye, Ming Zhou
Low Latency End-to-End Streaming Speech Recognition with a Scout Network. INTERSPEECH (2020)
Liang Lu, Eric Sun, Yifan Gong
Self-Teaching Networks. INTERSPEECH (2019)
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 (2019)
Liang Lu, Xiong Xiao, Zhuo Chen, Yifan Gong
PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorch. CoRR (2019)
Jinyu Li, Liang Lu, Changliang Liu, Yifan Gong
Improving Layer Trajectory LSTM with Future Context Frames. ICASSP (2019)
Liang Lu, Eric Sun, Yifan Gong
Self-Teaching Networks. CoRR (2019)
Peidong Wang, Zhuo Chen, Xiong Xiao, Zhong Meng, Takuya Yoshioka, Tianyan Zhou, Liang Lu, Jinyu Li
Speech Separation Using Speaker Inventory. ASRU (2019)
Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu
A Study of All-Convolutional Encoders for Connectionist Temporal Classification. ICASSP (2018)
Jinyu Li, Liang Lu, Changliang Liu, Yifan Gong
Exploring Layer Trajectory LSTM with Depth Processing Units and Attention. SLT (2018)
Liang Lu, Michelle Guo, Steve Renals
Knowledge distillation for small-footprint highway networks. ICASSP (2017)
Shubham Toshniwal, Hao Tang, Liang Lu, Karen Livescu
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition. CoRR (2017)
Liang Lu, Steve Renals
Small-Footprint Highway Deep Neural Networks for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25 (7) (2017)
Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith
Multi-task Learning with CTC and Segmental CRF for Speech Recognition. CoRR (2017)
Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith
Multitask Learning with CTC and Segmental CRF for Speech Recognition. INTERSPEECH (2017)
Ben Krause, Iain Murray, Steve Renals, Liang Lu
Multiplicative LSTM for sequence modelling. ICLR (Workshop) (2017)
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. IEEE J. Sel. Top. Signal Process. 11 (8) (2017)
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 (2017)
Shubham Toshniwal, Hao Tang, Liang Lu, Karen Livescu
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition. INTERSPEECH (2017)
Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu
A Study of All-Convolutional Encoders for Connectionist Temporal Classification. CoRR (2017)
Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals
Segmental Recurrent Neural Networks for End-to-end Speech Recognition. CoRR (2016)
Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals
Segmental Recurrent Neural Networks for End-to-End Speech Recognition. INTERSPEECH (2016)
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)
Liang Lu, Steve Renals
Small-footprint Highway Deep Neural Networks for Speech Recognition. CoRR (2016)
Liang Lu, Steve Renals
Small-Footprint Deep Neural Networks with Highway Connections for Speech Recognition. INTERSPEECH (2016)
Liang Lu, Xingxing Zhang, Steve Renals
On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition. ICASSP (2016)
Xiong Xiao, Shinji Watanabe, Hakan Erdogan, Liang Lu, John R. Hershey, Michael L. Seltzer, Guoguo Chen, Yu Zhang, Michael I. Mandel, Dong Yu
Deep beamforming networks for multi-channel speech recognition. ICASSP (2016)
Xingxing Zhang, Liang Lu, Mirella Lapata
Top-down Tree Long Short-Term Memory Networks. HLT-NAACL (2016)
Liang Lu, Michelle Guo, Steve Renals
Knowledge Distillation for Small-footprint Highway Networks. CoRR (2016)
Ben Krause, Liang Lu, Iain Murray, Steve Renals
Multiplicative LSTM for sequence modelling. CoRR (2016)
Liang Lu, Steve Renals
Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition. CoRR (2015)
Liang Lu, Steve Renals
Multi-frame factorisation for long-span acoustic modelling. ICASSP (2015)
Liang Lu, Xingxing Zhang, Kyunghyun Cho, Steve Renals
A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition. INTERSPEECH (2015)
Xingxing Zhang, Liang Lu, Mirella Lapata
Tree Recurrent Neural Networks with Application to Language Modeling. CoRR (2015)
Liang Lu, Steve Renals
Feature-space speaker adaptation for probabilistic linear discriminant analysis acoustic models. INTERSPEECH (2015)
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) (2014)
Liang Lu, Steve Renals
Probabilistic linear discriminant analysis with bottleneck features for speech recognition. INTERSPEECH (2014)
Liang Lu, Steve Renals
Probabilistic Linear Discriminant Analysis for Acoustic Modeling. IEEE Signal Process. Lett. 21 (6) (2014)
Liang Lu, Steve Renals
Tied Probabilistic Linear Discriminant Analysis for Speech Recognition. CoRR (2014)
Liang Lu, Arnab Ghoshal, Steve Renals
Noise adaptive training for subspace Gaussian mixture models. INTERSPEECH (2013)
Liang Lu, Arnab Ghoshal, Steve Renals
Acoustic data-driven pronunciation lexicon for large vocabulary speech recognition. ASRU (2013)
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) (2013)
Liang Lu, Arnab Ghoshal, Steve Renals
Joint uncertainty decoding with unscented transform for noise robust subspace Gaussian mixture models. SAPA@INTERSPEECH (2012)
Liang Lu, K. K. Chin, Arnab Ghoshal, Steve Renals
Noise Compensation for Subspace Gaussian Mixture Models. INTERSPEECH (2012)
Liang Lu, Arnab Ghoshal, Steve Renals
Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition. ICASSP (2012)
Liang Lu, Arnab Ghoshal, Steve Renals
Regularized subspace Gaussian mixture models for cross-lingual speech recognition. ASRU (2011)
Liang Lu, Arnab Ghoshal, Steve Renals
Regularized Subspace Gaussian Mixture Models for Speech Recognition. IEEE Signal Process. Lett. 18 (7) (2011)
Ken'ichi Kumatani, Liang Lu, John W. McDonough, Arnab Ghoshal, Dietrich Klakow
Maximum negentropy beamforming with superdirectivity. EUSIPCO (2010)