| The HTK book S Young, G Evermann, D Kershaw, G Moore, J Odell, D Ollason, ... Cambridge University Engineering Department 3, 2002 | 17632* | 2002 |
| The HTK Book (Revised for HTK Version 3.4. 1) S Young Cambridge University, 2009 | 4206* | 2009 |
| The HTK book 3.4 S Young, G Evermann, D Kershaw, G Moore, J Odell, D Ollason, D Povey, ... Cambridge University, Cambridge, England, 2006 | 622* | 2006 |
| 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 | 196 | 2021 |
| 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 | 184 | 2015 |
| 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 | 177 | 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 | 176 | 2020 |
| Handbook of natural language processing and machine translation: DARPA global autonomous language exploitation J Olive, C Christianson, J McCary Springer, 2011 | 144 | 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 | 140 | 2019 |
| 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 | 132 | 2019 |
| 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 INTERSPEECH 15, 3511-3515, 2015 | 114 | 2015 |
| 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 | 114 | 2014 |
| 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 | 112 | 2021 |
| 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 | 108 | 2020 |
| 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 | 108 | 2015 |
| 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 | 107 | 2020 |
| 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 | 105 | 2016 |
| Improved neural network based language modelling and adaptation. J Park, X Liu, MJF Gales, PC Woodland INTERSPEECH 10, 1041-1044, 2010 | 96 | 2010 |
| Channel-wise gated res2net: Towards robust detection of synthetic speech attacks X Li, X Wu, H Lu, X Liu, H Meng arXiv preprint arXiv:2107.08803, 2021 | 84 | 2021 |
| 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 | 81 | 2014 |
Mark GalesCambridge UniversityE-mailová adresa ověřena na: eng.cam.ac.uk
