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Sentence modality recognition in French based on prosody

Pavel Kral 1 Jana Kleckova 1 Christophe Cerisara 2
2 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper deals with automatic sentence modality recognition in French. In this work, only prosodic features are considered. The sentences are recognized according to the three following modalities: declarative, interrogative and exclamatory sentences. This information will be used to animate a talking head for deaf and hearing-impaired children. We first statistically study a real radio corpus in order to assess the feasibility of the automatic modeling of sentence types. Then, we test two sets of prosodic features as well as two different classifiers and their combination. We further focus our attention on questions recognition, as this modality is certainly the most important one for the target application.
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Contributor : Pavel Kral <>
Submitted on : Wednesday, November 16, 2005 - 10:42:38 AM
Last modification on : Tuesday, September 24, 2019 - 4:00:14 PM


  • HAL Id : hal-00013968, version 1



Pavel Kral, Jana Kleckova, Christophe Cerisara. Sentence modality recognition in French based on prosody. 2005, pp.185--188. ⟨hal-00013968⟩



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