Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46174
Title: Influence of initialisation and stop criteria on HMM based recognisers
Authors: Ferrer, M. A. 
Alonso, I. G. 
Travieso, C. M. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: speech recognition
HMM based recognisers
training algorithms
Issue Date: 2000
Publisher: 0013-5194
Journal: Electronics letters 
Abstract: A study is presented into the importance of two commonly overlooked factors influencing generalisation ability in the field of hidden Markov model (HMM) based recogniser training algorithms by means of a comparative study of four initialisation methods and three stop criteria in different applications. The results show that better results have been found with the equal-occupancy initialisation method and the fixed-threshold stop criterion.
URI: http://hdl.handle.net/10553/46174
ISSN: 0013-5194
DOI: 10.1049/el:20000826
Source: Electronics Letters[ISSN 0013-5194],v. 36, p. 1165-1166
Appears in Collections:Artículos
Show full item record

SCOPUSTM   
Citations

18
checked on Mar 24, 2024

WEB OF SCIENCETM
Citations

11
checked on Feb 25, 2024

Page view(s)

72
checked on Sep 30, 2023

Google ScholarTM

Check

Altmetric


Share



Export metadata



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