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Comparaison de SMLLR et de SMAP pour une adaptation au locuteur en utilisant des modèles acoustiques markoviens

Fabrice Lauri 1 Irina Illina 1 Dominique Fohr 1
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, two adaptation schemes are presented: SMAP and SMLLR. Both methods update the parameters of the acoustic models of a speaker independent system in order to improve its performances for a new speaker. We experimented SMAP and SMLLR to HMMs of the ESPERE engine in the batch mode and in the unsupervised incremental mode. The HMMs were learned on the Resource Management corpus. Results of the batch adaptation show a greatest efficienty of SMAP. For the unsupervised incremental adaptation, SMLLR is more powerful than SMAP, according to the incremental scheme we choose.
Mots-clés : reconnaissance automatique de la parole speaker adaptation automatic speech recognition adaptation au locuteur
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Conference papers
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https://hal.inria.fr/inria-00100779
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 2:50:58 PM
Last modification on : Thursday, January 11, 2018 - 6:19:55 AM

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  • HAL Id : inria-00100779, version 1

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INRIA | CNRS | LORIA | UNIV-LORRAINE

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Fabrice Lauri, Irina Illina, Dominique Fohr. Comparaison de SMLLR et de SMAP pour une adaptation au locuteur en utilisant des modèles acoustiques markoviens. XXIVe Journées d'Etude sur la Parole - JEP'02, Jun 2002, Nancy, France, pp.289-292. ⟨inria-00100779⟩

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