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
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