The HTK book S Young, G Evermann, D Kershaw, G Moore, J Odell, D Ollason, ... Cambridge University Engineering Department 3, 2002 | 4061* | 2002 |
The HTK book S Young, G Evermann, M Gales, T Hain, D Kershaw, X Liu, G Moore, ... Available on, 1999 | 3392 | 1999 |
The HTK book 3.4 S Young, G Evermann, D Kershaw, G Moore, J Odell, D Ollason, D Povey, ... Cambridge University, Cambridge, England, 2006 | 609* | 2006 |
The MGB challenge: Evaluating multi-genre broadcast media recognition P Bell, MJF Gales, T Hain, J Kilgour, P Lanchantin, X Liu, A McParland, ... 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 183 | 2015 |
Replay and synthetic speech detection with res2net architecture X Li, N Li, C Weng, X Liu, D Su, D Yu, H Meng ICASSP 2021-2021 IEEE international conference on acoustics, speech and …, 2021 | 144 | 2021 |
Dsnas: Direct neural architecture search without parameter retraining S Hu, S Xie, H Zheng, C Liu, J Shi, X Liu, D Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 140 | 2020 |
Handbook of natural language processing and machine translation: DARPA global autonomous language exploitation J Olive, C Christianson, J McCary Springer, 2011 | 132 | 2011 |
Speech emotion recognition using capsule networks X Wu, S Liu, Y Cao, X Li, J Yu, D Dai, X Ma, S Hu, Z Wu, X Liu, H Meng ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 121 | 2019 |
Vqmivc: Vector quantization and mutual information-based unsupervised speech representation disentanglement for one-shot voice conversion D Wang, L Deng, YT Yeung, X Chen, X Liu, H Meng arXiv preprint arXiv:2106.10132, 2021 | 116 | 2021 |
Efficient lattice rescoring using recurrent neural network language models X Liu, Y Wang, X Chen, MJF Gales, PC Woodland 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 113 | 2014 |
Recurrent neural network language model adaptation for multi-genre broadcast speech recognition X Chen, T Tan, X Liu, P Lanchantin, M Wan, MJF Gales, PC Woodland Sixteenth Annual Conference of the International Speech Communication …, 2015 | 110 | 2015 |
CNN-RNN-CTC based end-to-end mispronunciation detection and diagnosis WK Leung, X Liu, H Meng ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 108 | 2019 |
Recurrent neural network language model training with noise contrastive estimation for speech recognition X Chen, X Liu, MJF Gales, PC Woodland 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 107 | 2015 |
CUED-RNNLM—An open-source toolkit for efficient training and evaluation of recurrent neural network language models X Chen, X Liu, Y Qian, MJF Gales, PC Woodland 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 102 | 2016 |
Audio-visual recognition of overlapped speech for the lrs2 dataset J Yu, SX Zhang, J Wu, S Ghorbani, B Wu, S Kang, S Liu, X Liu, H Meng, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 99 | 2020 |
Adversarial attacks on GMM i-vector based speaker verification systems X Li, J Zhong, X Wu, J Yu, X Liu, H Meng ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 98 | 2020 |
Improved neural network based language modelling and adaptation. J Park, X Liu, MJF Gales, PC Woodland INTERSPEECH 10, 1041-1044, 2010 | 93 | 2010 |
Efficient GPU-based training of recurrent neural network language models using spliced sentence bunch. X Chen, Y Wang, X Liu, MJF Gales, PC Woodland Interspeech 14, 641-645, 2014 | 82 | 2014 |
Development of the 2003 CU-HTK conversational telephone speech transcription system G Evermann, HY Chan, MJF Gales, T Hain, X Liu, D Mrva, L Wang, ... 2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004 | 81 | 2004 |
Any-to-many voice conversion with location-relative sequence-to-sequence modeling S Liu, Y Cao, D Wang, X Wu, X Liu, H Meng IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1717-1728, 2021 | 80 | 2021 |