Word recognition for all: application to speech training

Marie-Christine Haton 1 Jean-Paul Haton 1
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper deals mainly with speech recognition of deaf people at word level. A related domain is also concerned, i.e., foreign language teaching for hearing persons. We present a set of lessons that have been developed and tested for the training of isolated words. These lessons extensively use automatic speech recognition algorithm based on global and analytical Hidden Markov Models.
Type de document :
Communication dans un congrès
Constantine Stephanidis. Universal Access in Human-Computer Interaction, 2001, New-Orleans, Louisiana, USA, Lawrence Erlbaum Associates, Publishers, 3, pp.329-333, 2001
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https://hal.inria.fr/inria-00100453
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Soumis le : mardi 26 septembre 2006 - 14:45:54
Dernière modification le : jeudi 11 janvier 2018 - 06:19:55

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  • HAL Id : inria-00100453, version 1

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Marie-Christine Haton, Jean-Paul Haton. Word recognition for all: application to speech training. Constantine Stephanidis. Universal Access in Human-Computer Interaction, 2001, New-Orleans, Louisiana, USA, Lawrence Erlbaum Associates, Publishers, 3, pp.329-333, 2001. 〈inria-00100453〉

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