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Conference Papers Year : 2004

Using Linear Interpolation to Improve Histogram Equalization for Speech Recognition

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.
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Dates and versions

inria-00100044 , version 1 (26-09-2006)

Identifiers

  • HAL Id : inria-00100044 , version 1

Cite

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. ⟨inria-00100044⟩
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