1. Continuous Speech Recognition Using Structural Learning of Dynamic Bayesian Networks
- Author
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Deviren, Murat, Daoudi, Khalid, Analysis, perception and recognition of speech (PAROLE), INRIA Lorraine, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS), and Loria, Publications
- Subjects
[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH] ,apprentissage de structures ,reconnaissance de la parole ,[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH] ,structural learning ,réseaux bayésiens dynamiques ,continuous speech recognition ,dynamic bayesian networks - Abstract
Colloque avec actes et comité de lecture. internationale.; International audience; We present a new continuous automatic speech recognition system where no a priori assumptions on the dependencies between the observed and the hidden speech processes are made. Rather, dependencies are learned form data using the Bayesian networks formalism. This approach guaranties to improve modelling fidelity as compared to HMMs. Furthermore, our approach is technically very attractive because all the computational effort is made in the training phase.
- Published
- 2002
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