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ORCIDYongwon Jeong
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2010 – 2019
- 2017
[c9]Sunchan Park, Yongwon Jeong, Hyung Soon Kim:
Multiresolution CNN for reverberant speech recognition. O-COCOSDA 2017: 1-4- 2016
- [j13]Yongwon Jeong:
Basis-Based Speaker Adaptation Using Partitioned HMM Mean Parameters of Training Speaker Models. J. Signal Process. Syst. 82(3): 303-310 (2016) - 2014
- [j12]Yongwon Jeong, Hyung Soon Kim:
Adaptation of Acoustic Models in Joint Speaker and Noise Space Using Bilinear Models. IEICE Trans. Inf. Syst. 97-D(8): 2195-2199 (2014) - [j11]Yongwon Jeong:
Speaker Adaptation Based on PPCA of Acoustic Models in a Two-Way Array Representation. IEICE Trans. Inf. Syst. 97-D(8): 2200-2204 (2014) - [j10]Yongwon Jeong:
Joint speaker and environment adaptation using TensorVoice for robust speech recognition. Speech Commun. 58: 1-10 (2014) - 2013
- [j9]Yongwon Jeong:
Speaker adaptation in the maximum a posteriori framework based on the probabilistic 2-mode analysis of training models. EURASIP J. Audio Speech Music. Process. 2013: 7 (2013) - [j8]Yongwon Jeong:
Speaker Adaptation in Sparse Subspace of Acoustic Models. IEICE Trans. Inf. Syst. 96-D(6): 1402-1405 (2013) - [j7]Yongwon Jeong, Sangjun Lim, Young Kuk Kim, Hyung Soon Kim:
Speaker Adaptation Based on PARAFAC2 of Transformation Matrices for Continuous Speech Recognition. IEICE Trans. Inf. Syst. 96-D(9): 2152-2155 (2013) - [j6]Yongwon Jeong:
Unified framework for basis-based speaker adaptation based on sample covariance matrix of variable dimension. Speech Commun. 55(2): 340-346 (2013) - 2012
- [j5]Yongwon Jeong:
Adaptation of Hidden Markov Models Using Model-as-Matrix Representation. IEEE Trans. Speech Audio Process. 20(8): 2352-2364 (2012) - 2011
- [j4]Yongwon Jeong:
Acoustic Model Adaptation Based on Tensor Analysis of Training Models. IEEE Signal Process. Lett. 18(6): 347-350 (2011) - [c8]Yongwon Jeong, Young Kuk Kim:
Matrix-Variate Distribution of Training Models for Robust Speaker Adaptation. INTERSPEECH 2011: 1093-1096 - 2010
- [j3]Yongwon Jeong, Hyung Soon Kim:
New Speaker Adaptation Method Using 2-D PCA. IEEE Signal Process. Lett. 17(2): 193-196 (2010) - [c7]Yongwon Jeong:
Speaker adaptation based on the multilinear decomposition of training speaker models. ICASSP 2010: 4870-4873 - [c6]Yongwon Jeong, Young Rok Song, Hyung Soon Kim:
Speaker adaptation in transformation space using two-dimensional PCA. INTERSPEECH 2010: 550-553
2000 – 2009
- 2009
- [c5]Hwa Jeon Song, Yongwon Jeong, Hyung Soon Kim:
A new method for speaker adaptation using bilinear model. ICASSP 2009: 4365-4368 - [c4]Hwa Jeon Song, Yongwon Jeong, Hyung Soon Kim:
Bilinear transformation space-based maximum likelihood linear regression frameworks. INTERSPEECH 2009: 548-551 - 2007
- [j2]Yongwon Jeong, Richard J. Radke
:
Reslicing axially sampled 3D shapes using elliptic Fourier descriptors. Medical Image Anal. 11(2): 197-206 (2007) - 2006
- [b1]Yongwon Jeong:
A Study on 3D shape modeling of anatomical objects and its application to segmentation of medical images. Rensselaer Polytechnic Institute, USA, 2006 - [c3]Yongwon Jeong, Richard J. Radke:
Modeling Inter- and Intra-Patient Anatomical Variation Using a Bilinear Model. CVPR Workshops 2006: 76 - 2005
- [j1]Daniel Freedman, Richard J. Radke, Tao Zhang, Yongwon Jeong, D. Michael Lovelock, George T. Y. Chen:
Model-based segmentation of medical imagery by matching distributions. IEEE Trans. Medical Imaging 24(3): 281-292 (2005) - 2004
- [c2]Daniel Freedman, Richard J. Radke, Tao Zhang, Yongwon Jeong, George T. Y. Chen:
Model-Based Multi-Object Segmentation via Distribution Matching. CVPR Workshops 2004: 11 - [c1]Xiaoli Tang, Yongwon Jeong, Richard J. Radke, George T. Y. Chen:
Geometric-model-based segmentation of the prostate and surrounding structures for image-guided radiotherapy. VCIP 2004
Coauthor Index
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