Články se zplnomocněním k veřejnému přístupu - Zhen-Hua Ling（凌震华）Další informace
Nedostupné nikde: 48
Samplernn-Based Neural Vocoder for Statistical Parametric Speech Synthesis
Y Ai, HC Wu, ZH Ling
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Zplnomocnění: National Natural Science Foundation of China
Modeling F0 trajectories in hierarchically structured deep neural networks
X Yin, M Lei, Y Qian, FK Soong, L He, ZH Ling, LR Dai
Speech Communication 76, 82-92, 2016
Zplnomocnění: National Natural Science Foundation of China
DBN-based Spectral Feature Representation for Statistical Parametric Speech Synthesis
YJ Hu, ZH Ling
IEEE Signal Processing Letters 23 (3), 321-325, 2016
Zplnomocnění: National Natural Science Foundation of China
Detecting Alzheimer’s Disease from Speech Using Neural Networks with Bottleneck Features and Data Augmentation
Z Liu, Z Guo, Z Ling, Y Li
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Zplnomocnění: National Natural Science Foundation of China
Automatic detection and classification of marmoset vocalizations using deep and recurrent neural networks
YJ Zhang, JF Huang, N Gong, ZH Ling, Y Hu
The Journal of the Acoustical Society of America 144 (1), 478-487, 2018
Zplnomocnění: Chinese Academy of Sciences
Articulatory-to-acoustic conversion using BLSTM-RNNs with augmented input representation
ZC Liu, ZH Ling, LR Dai
Speech Communication 99, 161-172, 2018
Zplnomocnění: Chinese Academy of Sciences, National Natural Science Foundation of China
Using bidirectional associative memories for joint spectral envelope modeling in voice conversion
LJ Liu, LH Chen, ZH Ling, LR Dai
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Zplnomocnění: National Natural Science Foundation of China
Extracting and Predicting Word-Level Style Variations for Speech Synthesis
YJ Zhang, ZH Ling
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1582-1593, 2021
Zplnomocnění: National Natural Science Foundation of China
Spectral conversion using deep neural networks trained with multi-source speakers
LJ Liu, LH Chen, ZH Ling, LR Dai
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
Zplnomocnění: National Natural Science Foundation of China
Dementia Detection by Fusing Speech and Eye-Tracking Representation
Z Sheng, Z Guo, X Li, Y Li, Z Ling
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Zplnomocnění: National Natural Science Foundation of China
Robustness of Speech Spoofing Detectors Against Adversarial Post-Processing of Voice Conversion
YY Ding, HJ Lin, LJ Liu, ZH Ling, Y Hu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3415-3426, 2021
Zplnomocnění: National Natural Science Foundation of China
WaveFFJORD: FFJORD-Based Vocoder for Statistical Parametric Speech Synthesis
NQ Wu, ZH Ling
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Zplnomocnění: National Natural Science Foundation of China
Dnn-based Spectral Enhancement for Neural Waveform Generators with Low-bit Quantization
Y Ai, JX Zhang, L Chen, ZH Ling
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Zplnomocnění: National Natural Science Foundation of China
Improving Naturalness and Controllability of Sequence-to-Sequence Speech Synthesis by Learning Local Prosody Representations
C Gong, L Wang, Z Ling, S Guo, J Zhang, J Dang
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Zplnomocnění: National Natural Science Foundation of China
Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis
JC Gu, T Li, ZH Ling, Q Liu, Z Su, YP Ruan, X Zhu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2443-2455, 2021
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Extracting Spectral Features Using Deep Autoencoders With Binary Distributed Hidden Units for Statistical Parametric Speech Synthesis
YJ Hu, ZH Ling
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 26 (4 …, 2018
Zplnomocnění: National Natural Science Foundation of China
Deep belief network-based post-filtering for statistical parametric speech synthesis
YJ Hu, ZH Ling, LR Dai
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Zplnomocnění: National Natural Science Foundation of China
Improving Recognition-Synthesis Based any-to-one Voice Conversion with Cyclic Training
YN Chen, LJ Liu, YJ Hu, Y Jiang, ZH Ling
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Zplnomocnění: National Natural Science Foundation of China
A study on improving end-to-end neural coreference resolution
JC Gu, ZH Ling, N Indurkhya
Chinese Computational Linguistics and Natural Language Processing Based on …, 2018
Zplnomocnění: Chinese Academy of Sciences
A Study on Voice Measures in Patients With Alzheimer's Disease
N Xiu, B Vaxelaire, L Li, Z Ling, X Xu, L Huang, B Sun, L Huang, R Sock
Journal of Voice, 2022
Zplnomocnění: US National Institutes of Health
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