Chapter 17. The distribution of prosodic features in the Rhapsodie corpus
From general observations to discourse characterization
- Author(s): Anne Lacheret-Dujour 1 , Guillaume Desagulier 2 , Serge Fleury 3 and Frédéric Isel 1
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View Affiliations Hide AffiliationsAffiliations:1 Modyco, Paris Nanterre University & CNRS, France2 Modyco CNRS &, Saint-Denis University, France3 LPP, Sorbonne Nouvelle University & CNRS, Paris, France
- Source: Rhapsodie , pp 315-338
- Publication Date June 2019
This chapter analyzes the interface between prosodic features and situational variables in the Rhapsodie treebank. First, we provide general quantitative information. Second, we present a preliminary set of statistical analyses performed on six specific prosodic variables, that provides two types of information. While Principal Component Analysis is useful to identify major trends in the data, inferential analysis is the first step in modeling the effect of the different modalities of each situational variable on the prosodic patterns, before considering predictive modeling. Finally, by focusing on the IPA unit, we present a third statistical method based on the computation of specificity indexes.
- Affiliations: 1: Modyco, Paris Nanterre University & CNRS, France; 2: Modyco CNRS &, Saint-Denis University, France; 3: LPP, Sorbonne Nouvelle University & CNRS, Paris, France
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