105 search results - page 10 / 21 » A Sequence Kernel and its Application to Speaker Recognition |
CVPR
2005
IEEE
15 years 3 months ago
2005
IEEE
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
80
Voted
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Voice conversion can be reduced to a problem to find a transformation function between the corresponding speech sequences of two speakers. Perhaps the most voice conversions meth...
104
Voted
JMLR
2008
14 years 9 months ago
2008
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
71
Voted
NIPS
2007
14 years 11 months ago
2007
Many tasks in speech processing involve classification of long term characteristics of a speech segment such as language, speaker, dialect, or topic. A natural technique for dete...
75
Voted
CORR
2010
Springer
14 years 6 months ago
2010
Springer
We introduce a new technique for proving kernelization lower bounds, called cross-composition. A classical problem L cross-composes into a parameterized problem Q if an instance o...