Zhen-Hua Ling(凌震华)
Zhen-Hua Ling(凌震华)
Other namesZhen-Hua Ling, Zhenhua Ling
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Cited by
Cited by
Enhanced lstm for natural language inference
Q Chen, X Zhu, ZH Ling, S Wei, H Jiang, D Inkpen
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods
J Lorenzo-Trueba, J Yamagishi, T Toda, D Saito, F Villavicencio, ...
Odyssey 2018 The Speaker and Language Recognition Workshop 26-29 June 2018 …, 2018
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
X Wang, J Yamagishi, M Todisco, H Delgado, A Nautsch, N Evans, ...
Computer Speech & Language 64, 101114, 2020
Deep learning for acoustic modeling in parametric speech generation: A systematic review of existing techniques and future trends
ZH Ling, SY Kang, H Zen, A Senior, M Schuster, XJ Qian, HM Meng, ...
IEEE Signal Processing Magazine 32 (3), 35-52, 2015
Neural Natural Language Inference Models Enhanced with External Knowledge
Q Chen, X Zhu, ZH Ling, D Inkpen, S Wei
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Learning latent representations for style control and transfer in end-to-end speech synthesis
YJ Zhang, S Pan, L He, ZH Ling
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Voice Conversion Using Deep Neural Networks with Layer-Wise Generative Training
LH Chen, ZH Ling, LJ Liu, LR Dai
IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (12 …, 2014
Robust speaker-adaptive HMM-based text-to-speech synthesis
J Yamagishi, T Nose, H Zen, ZH Ling, T Toda, K Tokuda, S King, S Renals
IEEE Transactions on Audio, Speech, and Language Processing 17 (6), 1208-1230, 2009
Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion
Y Zhao, WC Huang, X Tian, J Yamagishi, RK Das, T Kinnunen, Z Ling, ...
Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020, 2020
Modeling spectral envelopes using restricted Boltzmann machines and deep belief networks for statistical parametric speech synthesis
ZH Ling, L Deng, D Yu
IEEE Transactions on Audio, Speech, and Language Processing 21 (10), 2129-2139, 2013
Distraction-Based Neural Networks for Modeling Documents
Q Chen, X Zhu, Z Ling, S Wei, H Jiang
Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016
Learning semantic word embeddings based on ordinal knowledge constraints
Q Liu, H Jiang, S Wei, ZH Ling, Y Hu
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
Sequence-to-sequence acoustic modeling for voice conversion
JX Zhang, ZH Ling, LJ Liu, Y Jiang, LR Dai
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (3), 631-644, 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
ZX Ye, ZH Ling
Proc. ACL, 2872-2881, 2019
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
ZX Ye, ZH Ling
NAACL-HLT 2019, 2810-2819, 2019
Speaker-aware bert for multi-turn response selection in retrieval-based chatbots
JC Gu, T Li, Q Liu, ZH Ling, Z Su, S Wei, X Zhu
Proceedings of the 29th ACM International Conference on Information …, 2020
WaveNet Vocoder with Limited Training Data for Voice Conversion.
LJ Liu, ZH Ling, Y Jiang, M Zhou, LR Dai
Interspeech, 1983-1987, 2018
USTC system for Blizzard Challenge 2006 an improved HMM-based speech synthesis method
ZH Ling, YJ Wu, YP Wang, L Qin, RH Wang
Blizzard Challenge Workshop, 2006
Probabilistic Reasoning via Deep Learning: Neural Association Models
Q Liu, H Jiang, A Evdokimov, ZH Ling, X Zhu, S Wei, Y Hu
IJCAI 2016 Workshop on Deep Learning for Artificial Intelligence (DLAI), 2016
Integrating articulatory features into HMM-based parametric speech synthesis
ZH Ling, K Richmond, J Yamagishi, RH Wang
IEEE Transactions on Audio, Speech, and Language Processing 17 (6), 1171-1185, 2009
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