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 |
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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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