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Continuous Multi-Band Speech Recognition using Bayesian Networks

Khalid Daoudi 1 Dominique Fohr Christophe Antoine 1
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Using the Bayesian networks framework, we present a new multi-band approach for continuous speech recognition. This new approach has the advantage to overcome all the limitations of the standard multi-band techniques. Moreover, it leads to a higher fidelity speech modeling than HMMs. We provide a preliminary evaluation of the performance of our new approach on a connected digits recognition task.
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Submitted on : Thursday, October 19, 2006 - 8:59:50 AM
Last modification on : Friday, February 26, 2021 - 3:28:05 PM
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  • HAL Id : inria-00107521, version 1



Khalid Daoudi, Dominique Fohr, Christophe Antoine. Continuous Multi-Band Speech Recognition using Bayesian Networks. IEEE Automatic Speech Recognition and Understanding Workshop - ASRU'2001, IEEE, Dec 2001, Trento, Italy, 4 p. ⟨inria-00107521⟩



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