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» Phonetic Speaker Recognition with Support Vector Machines
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CSL
2007
Springer
14 years 9 months ago
Speaker-adaptive learning of resonance targets in a hidden trajectory model of speech coarticulation
A novel speaker-adaptive learning algorithm is developed and evaluated for a hidden trajectory model of speech coarticulation and reduction. Central to this model is the process o...
Dong Yu, Li Deng, Alex Acero
ICPR
2006
IEEE
15 years 10 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
NIPS
1996
14 years 11 months ago
Improving the Accuracy and Speed of Support Vector Machines
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
Christopher J. C. Burges, Bernhard Schölkopf
ICIP
2005
IEEE
15 years 11 months ago
Real time facial expression recognition from image sequences using support vector machines
In this paper, two novel real-time methods are proposed for facial expression recognition in image sequences. The user manually places some of the Candide grid's points to th...
Irene Kotsia, Ioannis Pitas
BMCBI
2005
136views more  BMCBI 2005»
14 years 9 months ago
Gene/protein name recognition based on support vector machine using dictionary as features
Background: Automated information extraction from biomedical literature is important because a vast amount of biomedical literature has been published. Recognition of the biomedic...
Tomohiro Mitsumori, Sevrani Fation, Masaki Murata,...