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Chao Weng | Dong Yu | Jinchuan Tian | Jianwei Yu | Yuexian Zou | Dong Yu | Chao Weng | Yuexian Zou | Jianwei Yu | Jinchuan Tian
[1] Andreas Stolcke,et al. SRILM - an extensible language modeling toolkit , 2002, INTERSPEECH.
[2] Yiming Wang,et al. Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI , 2016, INTERSPEECH.
[3] Chao Weng,et al. Consistent Training and Decoding for End-to-End Speech Recognition Using Lattice-Free MMI , 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[4] Shinji Watanabe,et al. ESPnet: End-to-End Speech Processing Toolkit , 2018, INTERSPEECH.
[5] Hermann Ney,et al. Early Stage LM Integration Using Local and Global Log-Linear Combination , 2020, INTERSPEECH.
[6] Tara N. Sainath,et al. A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition , 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).
[7] Quoc V. Le,et al. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition , 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[8] Shinji Watanabe,et al. End-to-end Speech Recognition With Word-Based Rnn Language Models , 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).
[9] John R. Hershey,et al. Hybrid CTC/Attention Architecture for End-to-End Speech Recognition , 2017, IEEE Journal of Selected Topics in Signal Processing.
[10] Lei Xie,et al. WeNet: Production Oriented Streaming and Non-Streaming End-to-End Speech Recognition Toolkit , 2021, Interspeech.
[11] Adam Coates,et al. Cold Fusion: Training Seq2Seq Models Together with Language Models , 2017, INTERSPEECH.
[12] John R. Hershey,et al. Multi-level language modeling and decoding for open vocabulary end-to-end speech recognition , 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[13] Hao Zheng,et al. AISHELL-1: An open-source Mandarin speech corpus and a speech recognition baseline , 2017, 2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA).
[14] Yoshua Bengio,et al. On Using Monolingual Corpora in Neural Machine Translation , 2015, ArXiv.
[15] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[16] Yu Zhang,et al. Conformer: Convolution-augmented Transformer for Speech Recognition , 2020, INTERSPEECH.
[17] Hui Bu,et al. AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale , 2018, ArXiv.
[18] Takaaki Hori,et al. Speech Recognition Algorithms Using Weighted Finite-State Transducers , 2013 .
[19] Hinrich Schütze,et al. Book Reviews: Foundations of Statistical Natural Language Processing , 1999, CL.
[20] Alex Graves,et al. Sequence Transduction with Recurrent Neural Networks , 2012, ArXiv.
[21] S. Arikawa,et al. Byte Pair Encoding: a Text Compression Scheme That Accelerates Pattern Matching , 1999 .
[22] Fernando Pereira,et al. Weighted finite-state transducers in speech recognition , 2002, Comput. Speech Lang..
[23] George Saon,et al. Alignment-Length Synchronous Decoding for RNN Transducer , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[24] Shinji Watanabe,et al. Recent Developments on Espnet Toolkit Boosted By Conformer , 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[25] Sanjeev Khudanpur,et al. End-to-end Speech Recognition Using Lattice-free MMI , 2018, INTERSPEECH.