Jianwu Dang
Jianwu Dang
JAIST, Japan / Tianjin Univ., China
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Morphological and acoustical analysis of the nasal and the paranasal cavities
J Dang, K Honda, H Suzuki
The Journal of the Acoustical Society of America 96 (4), 2088-2100, 1994
Acoustic characteristics of the piriform fossa in models and humans
J Dang, K Honda
The Journal of the Acoustical Society of America 101 (1), 456-465, 1997
Construction and control of a physiological articulatory model
J Dang, K Honda
The Journal of the Acoustical Society of America 115 (2), 853-870, 2004
An investigation of dependencies between frequency components and speaker characteristics for text-independent speaker identification
X Lu, J Dang
Speech communication 50 (4), 312-322, 2008
Voice activity detection based on an unsupervised learning framework
D Ying, Y Yan, J Dang, FK Soong
IEEE Transactions on Audio, Speech, and Language Processing 19 (8), 2624-2633, 2011
Spex+: A complete time domain speaker extraction network
M Ge, C Xu, L Wang, ES Chng, J Dang, H Li
arXiv preprint arXiv:2005.04686, 2020
Multi-kernel SVM based depression recognition using social media data
Z Peng, Q Hu, J Dang
International Journal of Machine Learning and Cybernetics 10, 43-57, 2019
Acoustic characteristics of the human paranasal sinuses derived from transmission characteristic measurement and morphological observation
J Dang, K Honda
The Journal of the Acoustical Society of America 100 (5), 3374-3383, 1996
Estimation of vocal tract shapes from speech sounds with a physiological articulatory model
J Dang, K Honda
Journal of Phonetics 30 (3), 511-532, 2002
Relation modeling with graph convolutional networks for facial action unit detection
Z Liu, J Dong, C Zhang, L Wang, J Dang
MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South …, 2020
Speech emotion recognition using 3d convolutions and attention-based sliding recurrent networks with auditory front-ends
Z Peng, X Li, Z Zhu, M Unoki, J Dang, M Akagi
IEEE Access 8, 16560-16572, 2020
Incorporating network structure with node contents for community detection on large networks using deep learning
J Cao, D Jin, L Yang, J Dang
Neurocomputing 297, 71-81, 2018
Fuzzy rough regression with application to wind speed prediction
S An, H Shi, Q Hu, X Li, J Dang
Information Sciences 282, 388-400, 2014
Integration of articulatory and spectrum features based on the hybrid HMM/BN modeling framework
K Markov, J Dang, S Nakamura
Speech Communication 48 (2), 161-175, 2006
Speech emotion recognition with local-global aware deep representation learning
J Liu, Z Liu, L Wang, L Guo, J Dang
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Exploration of complementary features for speech emotion recognition based on kernel extreme learning machine
L Guo, L Wang, J Dang, Z Liu, H Guan
IEEE Access 7, 75798-75809, 2019
A computational tongue model and its clinical application
S Fujita, J Dang, N Suzuki, K Honda
Oral Science International 4 (2), 97-109, 2007
A feature fusion method based on extreme learning machine for speech emotion recognition
L Guo, L Wang, J Dang, L Zhang, H Guan
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Combined node and link partitions method for finding overlapping communities in complex networks
D Jin, B Gabrys, J Dang
Scientific reports 5 (1), 8600, 2015
Improved support vector machine algorithm for heterogeneous data
S Peng, Q Hu, Y Chen, J Dang
Pattern Recognition 48 (6), 2072-2083, 2015
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