Using Linear Interpolation to Improve Histogram Equalization for Speech Recognition

Filipp Korkmazsky 1 Dominique Fohr 1 Irina Illina 1
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents a novel approach to speech data normalization by introducing interpolation for histogram equalization. We study different ways of histogram interpolation that inhence this normalization technique. We found that using a special weighting factor to combine current and past test sentence statistics improved speech recognition performance.
Mots-clés : histogram equalization for speech recogntion égalisation d'histogramme pour la reconnaissance de la parole
Type de document :
Communication dans un congrès
8th International Conference on Spoken Language Processing - ICSLP'2004, 2004, Jeju, Corée du Sud, 4 p, 2004
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https://hal.inria.fr/inria-00100044
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 10:13:41
Dernière modification le : jeudi 11 janvier 2018 - 06:19:55

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  • HAL Id : inria-00100044, version 1

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INRIA | LORIA | UNIV-LORRAINE

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Filipp Korkmazsky, Dominique Fohr, Irina Illina. Using Linear Interpolation to Improve Histogram Equalization for Speech Recognition. 8th International Conference on Spoken Language Processing - ICSLP'2004, 2004, Jeju, Corée du Sud, 4 p, 2004. 〈inria-00100044〉

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