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Influence of initialisation and stop criteria on HMM based recognisers

Influence of initialisation and stop criteria on HMM based recognisers

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  • Author(s): M.A. Ferrer 1 ; I.G. Alonso 2 ; C.M. Travieso 1
    • View affiliations
    • Affiliations: 1: Departamento de Señales y Comunicaciones, Universidad de las Palmas de Gran Canaria, Las Palmas de G.C., Spain
      2: Departamento de Ingeniería Telemática, Universidad de las Palmas de Gran Canaria, Las Palmas de G.C., Spain
  • Source: Volume 36, Issue 13, 22 June 2000, p. 1165 – 1166
    DOI:  10.1049/el:20000826 , Print ISSN 0013-5194, Online ISSN 1350-911X
© IEE
Published

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.

Inspec keywords: learning (artificial intelligence); speech recognition; generalisation (artificial intelligence); hidden Markov models

Other keywords: fixed-threshold stop criterion; HMM based recognisers; speech recognition; initialisation; equal-occupancy initialisation method; training algorithms; generalisation ability

Subjects: Speech recognition and synthesis; Learning in AI (theory); Markov processes; Speech recognition; Markov processes

References

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      • L. Rabiner , B. Juang . (1993) Fundamentals of speech recognition.
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      • L. Holmström , P. Kroistinen , J. Laaksonen , E. Oja . Neural and statistical classifiers - Taxonomy and two cases study. IEEE Trans. , 1 , 5 - 17
    5. 5)
      • Travieso, C.M., Morales, C.R., Alonso, I.G., Ferrer, M.A.: `Hand written digit parameterisation for HMM based recognition', VII Int. Conf. Image Processing and its Applications, 1999, Manchester, UK.
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      • S.Y. Kung . (1993) Digital neural networks.
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      • Camino, J.L., Travieso, C.M., Morales, C.R., Ferrer, M.A.: `Signature classification by hidden Markov models', 33rd Annual IEEE Int. Carnahan Conf. Security Technology, Oct. 1999, Madrid, Spain, p. 481–484.
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