Maxout neurons for deep convolutional and LSTM neural networks in speech recognition M Cai, J Liu Speech Communication 77, 53-64, 2016 | 114 | 2016 |
Deep maxout neural networks for speech recognition M Cai, Y Shi, J Liu 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 291-296, 2013 | 94 | 2013 |
Convolutional maxout neural networks for speech separation L Hui, M Cai, C Guo, L He, WQ Zhang, J Liu 2015 IEEE international symposium on signal processing and information …, 2015 | 44 | 2015 |
Investigation of bottleneck features and multilingual deep neural networks for speaker verification. Y Tian, M Cai, L He, J Liu Interspeech, 1151-1155, 2015 | 42 | 2015 |
A compact CNN-DBLSTM based character model for offline handwriting recognition with Tucker decomposition H Ding, K Chen, Y Yuan, M Cai, L Sun, S Liang, Q Huo 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 39 | 2017 |
Improving end-to-end contextual speech recognition with fine-grained contextual knowledge selection M Han, L Dong, Z Liang, M Cai, S Zhou, Z Ma, B Xu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 32 | 2022 |
Efficient one-pass decoding with NNLM for speech recognition Y Shi, WQ Zhang, M Cai, J Liu IEEE Signal Processing Letters 21 (4), 377-381, 2014 | 32 | 2014 |
A compact cnn-dblstm based character model for online handwritten chinese text recognition K Chen, L Tian, H Ding, M Cai, L Sun, S Liang, Q Huo 2017 14th IAPR international conference on document analysis and Recognition …, 2017 | 26 | 2017 |
Variance regularization of RNNLM for speech recognition Y Shi, WQ Zhang, M Cai, J Liu 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 24 | 2014 |
Convolutional maxout neural networks for low-resource speech recognition M Cai, Y Shi, J Kang, J Liu, T Su The 9th International Symposium on Chinese Spoken Language Processing, 133-137, 2014 | 21 | 2014 |
Improving rnn transducer modeling for small-footprint keyword spotting Y Tian, H Yao, M Cai, Y Liu, Z Ma ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 17 | 2021 |
An open vocabulary OCR system with hybrid word-subword language models M Cai, W Hu, K Chen, L Sun, S Liang, X Mo, Q Huo 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 15 | 2017 |
Compact and efficient WFST-based decoders for handwriting recognition M Cai, Q Huo 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 14 | 2017 |
High-performance Swahili keyword search with very limited language pack: The THUEE system for the OpenKWS15 evaluation M Cai, Z Lv, C Lu, J Kang, L Hui, Z Zhang, J Liu 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 14 | 2015 |
Stochastic pooling maxout networks for low-resource speech recognition M Cai, Y Shi, J Liu 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 13 | 2014 |
Sequence discriminative training for offline handwriting recognition by an interpolated CTC and lattice-free MMI objective function W Hu, M Cai, K Chen, H Ding, L Sun, S Liang, X Mo, Q Huo 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 12 | 2017 |
Improving rnn transducer with normalized jointer network M Huang, J Zhang, M Cai, Y Zhang, J Yao, Y You, Y He, Z Ma arXiv preprint arXiv:2011.01576, 2020 | 9 | 2020 |
Temporal kernel neural network language model Y Shi, WQ Zhang, M Cai, J Liu 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 9 | 2013 |
Deep neural networks based speaker modeling at different levels of phonetic granularity Y Tian, L He, M Cai, WQ Zhang, J Liu 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 8 | 2017 |
Neuron sparseness versus connection sparseness in deep neural network for large vocabulary speech recognition J Kang, C Lu, M Cai, WQ Zhang, J Liu 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 8 | 2015 |