A Method for Automatic and Dynamic Estimation of Discourse Genre Typology with Prosodic Features

Obin, Nicolas;Lacheret-Dujour, Anne;Veaux, Christophe;Rodet, Xavier;Simon, Anne-Catherine
(2008) 9th Annual Conference of the International Speech Communication Association 2008 (INTERSPEECH 2008) — Location: Brisbane (Australia) (22.September.2008)

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Authors
  • Obin, Nicolas
    Author
  • Lacheret-Dujour, Anne
    Author
  • Veaux, Christophe
    Author
  • Rodet, Xavier
    Author
  • Simon, Anne-Catherineorcid-logoUCLouvain
    Author
Abstract
This paper presents a work-in-progress on the automatic analysis of discourse genre in non-elicited speech. The study is focused on the development of bottom-up methods for automatic validation of discourse typologies found in linguistic descriptions (prosodic, syntactic, pragmatic and/or contextual and situational cues). The linguistic classification examined here opposes five discourse genres +/- controlled. To test this a priori classification under prosodic criteria, we propose a method that provides an automatic and dynamic estimation of discourse genre typology i.e. of prosodic similarities between discourse genres. This is achieved in a two-step procedure : a set of discriminant prosodic patterns is estimated and then used to raise a typology of discourse genres based on prosodic similarity criterion. The discriminant analysis reveals that a small number of prosodic patterns is sufficient to discriminate the 5 discourse genres. The typological analysis reveals some multilevel caterogical oppositions on a continuous prosodic scale that can be interpreted in terms of +/- controlled speech.
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Obin, N., Lacheret-Dujour, A., Veaux, C., Rodet, X., & Simon, A.-C. (2008). A Method for Automatic and Dynamic Estimation of Discourse Genre Typology with Prosodic Features. Proceedings Interspeech 2008, 1204-1207. https://hdl.handle.net/2078.5/153639