Authors: Jakovljević, Nikša
Janev, Marko 
Pekar, Darko
Mišković, Dragiša
Title: Energy normalization in automatic speech recognition
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 5246 LNAI
First page: 341
Last page: 347
Conference: 11th International Conference on Text, Speech and Dialogue, TSD 2008; Brno; Czech Republic; 8 September 2008 through 12 September 2008
Issue Date: 7-Oct-2008
Rank: M23
ISBN: 978-3-540-87390-2
ISSN: 0302-9743
DOI: 10.1007/978-3-540-87391-4_44
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 %.
Publisher: Springer Link

Show full item record


checked on Jun 16, 2024

Page view(s)

checked on May 10, 2024

Google ScholarTM




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.