33 search results - page 3 / 7 » Fishervioce: A discriminant subspace framework for speaker r... |
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
We describe recent progress in the field of prosodic modeling for speaker verification. In a previous paper, we proposed a technique for modeling syllable-based prosodic feature...
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
CVPR
2005
IEEE
14 years 8 months ago
2005
IEEE
Linear discriminant analysis (LDA) is a popular face recognition technique. However, an inherent problem with this technique stems from the parametric nature of the scatter matrix...
ICCV
2007
IEEE
14 years 8 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
AMFG
2005
IEEE
13 years 12 months ago
2005
IEEE
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...