Influence of initialisation and stop criteria on HMM based recognisers

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 applicatio...

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Veröffentlicht in:Electronics letters 2000-06, Vol.36 (13), p.1165-1166
Hauptverfasser: Ferrer, M A, Alonso, I G, Travieso, C M
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creator Ferrer, M A
Alonso, I G
Travieso, C M
description 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.
doi_str_mv 10.1049/el:20000826
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title Influence of initialisation and stop criteria on HMM based recognisers
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