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inria-00099058, version 1

A new approach for multi-band speech recognition based on probabilistic graphical models

Khalid Daoudi () a1, Dominique Fohr () b1, Christophe Antoine c

ICSLP (2000) 4 p

Abstract: In this paper, we introduce a new approach for multi-band speech recognition which allows interaction between sub-bands and does not require a recombination step. Moreover, this approach is a natural generalization of the HMMs paradigm and leads to fast learning and recognition algorithms.

  • a –  INRIA
  • b –  CNRS
  • c –  MIC2
  • 1:  PAROLE (INRIA Lorraine - LORIA)
  • INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
  • Domain : Computer Science/Other
  • Keywords : graphical models – bayesian networks – multi-band speech recognition – noisy speech recognition || modèles graphiques – réseaux bayesiens – reconnaissance multi-bandes de la parole
  • Internal note : A00-R-324 || daoudi00a
  • Comment : Colloque avec actes et comité de lecture. internationale.
 
  • inria-00099058, version 1
  • oai:hal.inria.fr:inria-00099058
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  • Submitted on: Tuesday, 26 September 2006 08:49:06
  • Updated on: Thursday, 28 September 2006 15:22:45