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Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition

Feb 02, 2021
Zhong Meng, Naoyuki Kanda, Yashesh Gaur, Sarangarajan Parthasarathy, Eric Sun, Liang Lu, Xie Chen, Jinyu Li, Yifan Gong

* 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Canada 
* 5 pages, ICASSP 2021 

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Streaming end-to-end multi-talker speech recognition

Nov 26, 2020
Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong

* 5 pages, 4 figures 

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

Nov 03, 2020
Naoyuki Kanda, Zhong Meng, Liang Lu, Yashesh Gaur, Xiaofei Wang, Zhuo Chen, Takuya Yoshioka

* Submitted to ICASSP 2021. arXiv admin note: text overlap with arXiv:2006.10930, arXiv:2008.04546 

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

Nov 03, 2020
Zhong Meng, Sarangarajan Parthasarathy, Eric Sun, Yashesh Gaur, Naoyuki Kanda, Liang Lu, Xie Chen, Rui Zhao, Jinyu Li, Yifan Gong

* 2021 IEEE Spoken Language Technology Workshop (SLT) 
* 8 pages, 2 figures, SLT 2021 

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On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer

Oct 23, 2020
Liang Lu, Zhong Meng, Naoyuki Kanda, Jinyu Li, Yifan Gong

* 5 pages, submitted to ICASSP 2021 

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Exploring Transformers for Large-Scale Speech Recognition

May 19, 2020
Liang Lu, Changliang Liu, Jinyu Li, Yifan Gong

* 5 pages, 1 figure 

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

May 15, 2020
Hirofumi Inaguma, Yashesh Gaur, Liang Lu, Jinyu Li, Yifan Gong

* Accepted at IEEE ICASSP 2020 

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Exploring Pre-training with Alignments for RNN Transducer based End-to-End Speech Recognition

May 01, 2020
Hu Hu, Rui Zhao, Jinyu Li, Liang Lu, Yifan Gong

* Accepted by ICASSP 2020 

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Continuous speech separation: dataset and analysis

Jan 30, 2020
Zhuo Chen, Takuya Yoshioka, Liang Lu, Tianyan Zhou, Zhong Meng, Yi Luo, Jian Wu, Jinyu Li


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Semantic Mask for Transformer based End-to-End Speech Recognition

Dec 06, 2019
Chengyi Wang, Yu Wu, Yujiao Du, Jinyu Li, Shujie Liu, Liang Lu, Shuo Ren, Guoli Ye, Sheng Zhao, Ming Zhou


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A Transformer with Interleaved Self-attention and Convolution for Hybrid Acoustic Models

Oct 23, 2019
Liang Lu

* 5 pages, submitted to ICASSP 2019 

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Self-Teaching Networks

Sep 09, 2019
Liang Lu, Eric Sun, Yifan Gong

* 5 pages, Interspeech 2019 

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PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorch

Jul 30, 2019
Liang Lu, Xiong Xiao, Zhuo Chen, Yifan Gong

* 5 pages, 2 figures 

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Pykaldi2: Yet another speech toolkit based on Kaldi and Pytorch

Jul 12, 2019
Liang Lu, Xiong Xiao, Zhuo Chen, Yifan Gong

* 5 pages, 2 figures 

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A Study of All-Convolutional Encoders for Connectionist Temporal Classification

Feb 15, 2018
Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu

* Accepted to ICASSP-2018 

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Multiplicative LSTM for sequence modelling

Oct 12, 2017
Ben Krause, Liang Lu, Iain Murray, Steve Renals


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End-to-End Neural Segmental Models for Speech Recognition

Aug 15, 2017
Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals


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Toward Computation and Memory Efficient Neural Network Acoustic Models with Binary Weights and Activations

Jul 04, 2017
Liang Lu

* 7 pages, 3 figures 

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Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition

Jun 14, 2017
Liang Lu, Steve Renals

* 5 pages, 3 figures, fixed typo, accepted by Interspeech 2016 

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Multitask Learning with CTC and Segmental CRF for Speech Recognition

Jun 05, 2017
Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith

* 5 pages, 2 figures, camera ready version at Interspeech 2017 

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Small-footprint Highway Deep Neural Networks for Speech Recognition

Apr 25, 2017
Liang Lu, Steve Renals

* 9 pages, 6 figures. Accepted to IEEE/ACM Transactions on Audio, Speech and Language Processing, 2017. arXiv admin note: text overlap with arXiv:1608.00892, arXiv:1607.01963 

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

Apr 19, 2017
Shubham Toshniwal, Hao Tang, Liang Lu, Karen Livescu


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Sequence Training and Adaptation of Highway Deep Neural Networks

Mar 22, 2017
Liang Lu

* 6 pages, 3 figures, published at IEEE SLT 2016. arXiv admin note: text overlap with arXiv:1610.05812 

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Knowledge Distillation for Small-footprint Highway Networks

Dec 20, 2016
Liang Lu, Michelle Guo, Steve Renals

* 5 pages, 2 figures, accepted to icassp 2017 

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

Jun 20, 2016
Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals

* 5 pages, 2 figures, accepted by Interspeech 2016 

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Top-down Tree Long Short-Term Memory Networks

Apr 03, 2016
Xingxing Zhang, Liang Lu, Mirella Lapata

* to appear in NAACL 2016; code available at https://github.com/XingxingZhang/td-treelstm 

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Tied Probabilistic Linear Discriminant Analysis for Speech Recognition

Nov 04, 2014
Liang Lu, Steve Renals


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