Using Linear Interpolation to Improve Histogram Equalization for Speech Recognition

Filipp Korkmazsky; Dominique Fohr; Irina Illina

inria-00100044, version 1

Using Linear Interpolation to Improve Histogram Equalization for Speech Recognition

Filipp Korkmazsky^a^, 1, Dominique Fohr ()^b^, 1, Irina Illina^c^, 1

8th International Conference on Spoken Language Processing - ICSLP'2004 (2004) 4 p

Résumé : 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.

a – INRIA
b – CNRS
c – UNIVERSITE NANCY 2
1 : PAROLE (INRIA Lorraine - LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)

inria-00100044, version 1
http://hal.inria.fr/inria-00100044
oai:hal.inria.fr:inria-00100044
Contributeur : Publications Loria <>
Soumis le : Mardi 26 Septembre 2006, 10:13:41
Dernière modification le : Jeudi 28 Septembre 2006, 15:22:47

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