InforLorV4, Main, Merge, bibRecord, 008D84

Keyword spotting using Support Vector Machines

Identifieur interne : 008D84 ( Main/Merge ); précédent : 008D83; suivant : 008D85

Keyword spotting using Support Vector Machines

Auteurs : YASSINE BEN AYED [France] ; Dominique Fohr [France] ; Jean Paul Haton [France] ; Gérard Chollet [France]

Source :

Lecture notes in computer science [ 0302-9743 ] ; 2002.

RBID : Pascal:03-0146695

Descripteurs français

Pascal (Inist)
- Fonction base radiale, Apprentissage probabilités, Reconnaissance forme, Mot clé, Reconnaissance parole, Reconnaissance automatique, Base donnée, Machine support vecteur.
Wicri :
- topic : Base de données.

English descriptors

KwdEn :
- Automatic recognition, Database, Keyword, Pattern recognition, Probability learning, Radial basis function, Speech recognition, Vector support machine.

Abstract

Support Vector Machines is a new and promising technique in statistical learning theory. Recently, this technique produced very interesting results in pattern recognition [1,2,3]. In this paper, one of the first application of Support Vector Machines (SVM) technique for the problem of keyword spotting is presented. It classifies the correct and the incorrect keywords by using linear and Radial Basis Function kernels. This is a first work proposed to use SVM in keyword spotting, in order to improve recognition and rejection accuracy. The obtained results are very promising.

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000818
to stream PascalFrancis, to step Curation: 000225
to stream PascalFrancis, to step Checkpoint: 000799

Links to Exploration step

Pascal:03-0146695

Le document en format XML

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<front><div type="abstract" xml:lang="en">Support Vector Machines is a new and promising technique in statistical learning theory. Recently, this technique produced very interesting results in pattern recognition [1,2,3]. In this paper, one of the first application of Support Vector Machines (SVM) technique for the problem of keyword spotting is presented. It classifies the correct and the incorrect keywords by using linear and Radial Basis Function kernels. This is a first work proposed to use SVM in keyword spotting, in order to improve recognition and rejection accuracy. The obtained results are very promising.</div>
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Keyword spotting using Support Vector Machines

Keyword spotting using Support Vector Machines

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri