Liang Lu

According to our database, Liang Lu authored at least 56 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Continuous Streaming Multi-Talker ASR with Dual-Path Transducers.

Desh Raj, Liang Lu, Zhuo Chen, Yashesh Gaur, Jinyu Li

Proceedings of the IEEE International Conference on Acoustics, 2022

Endpoint Detection for Streaming End-to-End Multi-Talker ASR.

Liang Lu, Jinyu Li, Yifan Gong

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Streaming End-to-End Multi-Talker Speech Recognition.

Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong

IEEE Signal Process. Lett., 2021

Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition.

Zhong Meng, Sarangarajan Parthasarathy, Eric Sun, Yashesh Gaur, Naoyuki Kanda, Liang Lu, Xie Chen, Rui Zhao, Jinyu Li, Yifan Gong

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition.

Zhong Meng, Yu Wu, Naoyuki Kanda, Liang Lu, Xie Chen, Guoli Ye, Eric Sun, Jinyu Li, Yifan Gong

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer.

Liang Lu, Zhong Meng, Naoyuki Kanda, Jinyu Li, Yifan Gong

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Streaming Multi-Talker Speech Recognition with Joint Speaker Identification.

Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Sequence-Level Self-Teaching Regularization.

Eric Sun, Liang Lu, Zhong Meng, Yifan Gong

Proceedings of the IEEE International Conference on Acoustics, 2021

Internal Language Model Training for Domain-Adaptive End-To-End Speech Recognition.

Zhong Meng, Naoyuki Kanda, Yashesh Gaur, Sarangarajan Parthasarathy, Eric Sun, Liang Lu, Xie Chen, Jinyu Li, Yifan Gong

Proceedings of the IEEE International Conference on Acoustics, 2021

Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR.

Naoyuki Kanda, Zhong Meng, Liang Lu, Yashesh Gaur, Xiaofei Wang, Zhuo Chen, Takuya Yoshioka

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Continuous speech separation: dataset and analysis.

Zhuo Chen, Takuya Yoshioka, Liang Lu, Tianyan Zhou, Zhong Meng, Yi Luo, Jian Wu, Jinyu Li

CoRR, 2020

Combination of End-to-End and Hybrid Models for Speech Recognition.

Jeremy Heng Meng Wong, Yashesh Gaur, Rui Zhao, Liang Lu, Eric Sun, Jinyu Li, Yifan Gong

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Exploring Transformers for Large-Scale Speech Recognition.

Liang Lu, Changliang Liu, Jinyu Li, Yifan Gong

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Low Latency End-to-End Streaming Speech Recognition with a Scout Network.

Chengyi Wang, Yu Wu, Liang Lu, Shujie Liu, Jinyu Li, Guoli Ye, Ming Zhou

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Semantic Mask for Transformer Based End-to-End Speech Recognition.

Chengyi Wang, Yu Wu, Yujiao Du, Jinyu Li, Shujie Liu, Liang Lu, Shuo Ren, Guoli Ye, Sheng Zhao, Ming Zhou

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR.

Hirofumi Inaguma, Yashesh Gaur, Liang Lu, Jinyu Li, Yifan Gong

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Exploring Pre-Training with Alignments for RNN Transducer Based End-to-End Speech Recognition.

Hu Hu, Rui Zhao, Jinyu Li, Liang Lu, Yifan Gong

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Continuous Speech Separation: Dataset and Analysis.

Zhuo Chen, Takuya Yoshioka, Liang Lu, Tianyan Zhou, Zhong Meng, Yi Luo, Jian Wu, Xiong Xiao, Jinyu Li

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorch.

Liang Lu, Xiong Xiao, Zhuo Chen, Yifan Gong

CoRR, 2019

Self-Teaching Networks.

Liang Lu, Eric Sun, Yifan Gong

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Improving Layer Trajectory LSTM with Future Context Frames.

Jinyu Li, Liang Lu, Changliang Liu, Yifan Gong

Proceedings of the IEEE International Conference on Acoustics, 2019

Speech Separation Using Speaker Inventory.

Peidong Wang, Zhuo Chen, Xiong Xiao, Zhong Meng, Takuya Yoshioka, Tianyan Zhou, Liang Lu, Jinyu Li

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

Exploring Layer Trajectory LSTM with Depth Processing Units and Attention.

Jinyu Li, Liang Lu, Changliang Liu, Yifan Gong

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

A Study of All-Convolutional Encoders for Connectionist Temporal Classification.

Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Small-Footprint Highway Deep Neural Networks for Speech Recognition.

Liang Lu, Steve Renals

IEEE ACM Trans. Audio Speech Lang. Process., 2017

End-to-End Neural Segmental Models for Speech Recognition.

Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals

IEEE J. Sel. Top. Signal Process., 2017

Multi-task Learning with CTC and Segmental CRF for Speech Recognition.

Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith

CoRR, 2017

Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition.

Shubham Toshniwal, Hao Tang, Liang Lu, Karen Livescu

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Multitask Learning with CTC and Segmental CRF for Speech Recognition.

Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Multiplicative LSTM for sequence modelling.

Ben Krause, Iain Murray, Steve Renals, Liang Lu

Proceedings of the 5th International Conference on Learning Representations, 2017

Knowledge distillation for small-footprint highway networks.

Liang Lu, Michelle Guo, Steve Renals

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Discriminative Beamforming with Phase-Aware Neural Networks for Speech Enhancement and Recognition.

Xiong Xiao, Shinji Watanabe, Hakan Erdogan, Michael I. Mandel, Liang Lu, John R. Hershey, Michael L. Seltzer, Guoguo Chen, Yu Zhang, Dong Yu

Proceedings of the New Era for Robust Speech Recognition, Exploiting Deep Learning., 2017

2016

Top-down Tree Long Short-Term Memory Networks.

Xingxing Zhang, Liang Lu, Mirella Lapata

Proceedings of the NAACL HLT 2016, 2016

Small-Footprint Deep Neural Networks with Highway Connections for Speech Recognition.

Liang Lu, Steve Renals

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Segmental Recurrent Neural Networks for End-to-End Speech Recognition.

Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Deep beamforming networks for multi-channel speech recognition.

Xiong Xiao, Shinji Watanabe, Hakan Erdogan, Liang Lu, John R. Hershey, Michael L. Seltzer, Guoguo Chen, Yu Zhang, Michael I. Mandel, Dong Yu

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Speaker-aware training of LSTM-RNNS for acoustic modelling.

Tian Tan, Yanmin Qian, Dong Yu, Souvik Kundu, Liang Lu, Khe Chai Sim, Xiong Xiao, Yu Zhang

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition.

Liang Lu, Xingxing Zhang, Steve Renals

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Tree Recurrent Neural Networks with Application to Language Modeling.

Xingxing Zhang, Liang Lu, Mirella Lapata

CoRR, 2015

A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition.

Liang Lu, Xingxing Zhang, Kyunghyun Cho, Steve Renals

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Feature-space speaker adaptation for probabilistic linear discriminant analysis acoustic models.

Liang Lu, Steve Renals

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Multi-frame factorisation for long-span acoustic modelling.

Liang Lu, Steve Renals

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Cross-Lingual Subspace Gaussian Mixture Models for Low-Resource Speech Recognition.

Liang Lu, Arnab Ghoshal, Steve Renals

IEEE ACM Trans. Audio Speech Lang. Process., 2014

Probabilistic Linear Discriminant Analysis for Acoustic Modeling.

Liang Lu, Steve Renals

IEEE Signal Process. Lett., 2014

Tied Probabilistic Linear Discriminant Analysis for Speech Recognition.

Liang Lu, Steve Renals

CoRR, 2014

Probabilistic linear discriminant analysis with bottleneck features for speech recognition.

Liang Lu, Steve Renals

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

2013

Subspace Gaussian mixture models for automatic speech recognition

Liang Lu

PhD thesis, 2013

Joint Uncertainty Decoding for Noise Robust Subspace Gaussian Mixture Models.

Liang Lu, K. K. Chin, Arnab Ghoshal, Stephen Renals

IEEE Trans. Speech Audio Process., 2013

Noise adaptive training for subspace Gaussian mixture models.

Liang Lu, Arnab Ghoshal, Steve Renals

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Acoustic data-driven pronunciation lexicon for large vocabulary speech recognition.

Liang Lu, Arnab Ghoshal, Steve Renals

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012

Joint uncertainty decoding with unscented transform for noise robust subspace Gaussian mixture models.

Liang Lu, Arnab Ghoshal, Steve Renals

Proceedings of the ISCA Workshop on Statistical And Perceptual Audition, 2012

Noise Compensation for Subspace Gaussian Mixture Models.

Liang Lu, K. K. Chin, Arnab Ghoshal, Steve Renals

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition.

Liang Lu, Arnab Ghoshal, Steve Renals

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Regularized Subspace Gaussian Mixture Models for Speech Recognition.

Liang Lu, Arnab Ghoshal, Steve Renals

IEEE Signal Process. Lett., 2011

Regularized subspace Gaussian mixture models for cross-lingual speech recognition.

Liang Lu, Arnab Ghoshal, Steve Renals

Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010

Maximum negentropy beamforming with superdirectivity.

Ken'ichi Kumatani, Liang Lu, John W. McDonough, Arnab Ghoshal, Dietrich Klakow

Proceedings of the 18th European Signal Processing Conference, 2010