Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/11839
Title: Energy normalization in automatic speech recognition
Authors: Jakovljević, Nikša 
Janev M.
Pekar, Darko 
Mišković, Dragiša 
Issue Date: 7-Oct-2008
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract: In this paper a novel method for energy normalization is presented. The objective of this method is to remove unwanted energy variations caused by different microphone gains, various loudness levels across speakers, as well as changes of single speaker loudness level over time. The solution presented here is based on principles used in automatic gain control. The use of this method results in relative improvement of the performances of an automatic speech recognition system by 26 %. © 2008 Springer-Verlag Berlin Heidelberg.
URI: https://open.uns.ac.rs/handle/123456789/11839
ISBN: 3540873902
ISSN: 3029743
DOI: 10.1007/978-3-540-87391-4_44
Appears in Collections:FTN Publikacije/Publications

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