Suivre
Xunying Liu
Titre
Citée par
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The HTK book
S Young, G Evermann, D Kershaw, G Moore, J Odell, D Ollason, ...
Cambridge University Engineering Department 3, 2002
17619*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
1962021
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
1842015
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
1762021
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
1762020
Handbook of natural language processing and machine translation: DARPA global autonomous language exploitation
J Olive, C Christianson, J McCary
Springer, 2011
1442011
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
1402019
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
1322019
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
1142015
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
1142014
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
1122021
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
1082020
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
1082015
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
1072020
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
1052016
Improved neural network based language modelling and adaptation.
J Park, X Liu, MJF Gales, PC Woodland
INTERSPEECH 10, 1041-1044, 2010
962010
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
842021
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
812014
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