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Communication Dans Un Congrès Année : 2001

Word recognition for all: application to speech training

Résumé

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.
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Dates et versions

inria-00100453 , version 1 (26-09-2006)

Identifiants

  • HAL Id : inria-00100453 , version 1

Citer

Marie-Christine Haton, Jean-Paul Haton. Word recognition for all: application to speech training. Universal Access in Human-Computer Interaction, 2001, New-Orleans, Louisiana, USA, pp.329-333. ⟨inria-00100453⟩
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