Which model for future speech recognition systems: Hidden Markov models for finite-state automata? - Archive ouverte HAL
Communication Dans Un Congrès Année : 1994

Which model for future speech recognition systems: Hidden Markov models for finite-state automata?

Joseph Di Martino
Analysis, perception and recognition of speech
CV
Jean-François Mari
  • Fonction : Auteur
  • PersonId : 1202580
Analysis, perception and recognition of speech
B. Mathieu
  • Fonction : Auteur
K. Perot
  • Fonction : Auteur
Kamel Smaïli
Analysis, perception and recognition of speech
CV

Résumé

Representation of speech using hidden Markov models is compared with a representatiton based on finite-state automata. Experimental results are presented for both methods and the respective advantages and disadvantages discussed

Domaines

Intelligence artificielle [cs.AI]

Kamel Smaïli  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-00589127

Soumis le : mercredi 27 avril 2011-15:36:05

Dernière modification le : vendredi 24 mars 2023-14:52:54

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Dates et versions

hal-00589127 , version 1 (27-04-2011)

Identifiants

  • HAL Id : hal-00589127 , version 1

Citer

Joseph Di Martino, Jean-François Mari, B. Mathieu, K. Perot, Kamel Smaïli. Which model for future speech recognition systems: Hidden Markov models for finite-state automata?. IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP-94, 1994, Adelaïd, Australia. pp.633-635. ⟨hal-00589127⟩

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