Grammatical Components and Macro-Prosody: Quantitative Analysis Toward Statistical Correlations

Auteurs-es

  • G. Gaelen-Haumont

Résumé

This study fits within the scope of the natural understanding of texts. Already known, simplified grammatical (syntactic, semantic) models of linguistic analysis have been either adapted or elaborated upon, in order to verify the hypothesis according to which there exist actual traces of abstract grammatical levels within the prosodic continuum of speech.

A per-speaker statistical file was compiled, containing both (I-syntactic, 2-semantic, 3-pragmatic) parameters issuing from the above models, and phonetico-prosodic parameters that are specific to melodic, energetic and temporal (including pauses) registers. Such a file makes it possible, if we resort to correlation analysis, to secure a quantitative appreciation of variability in the strategies adopted by speakers.

While anticipating an analysis of statistical correlations, the present article states the contents of the various analytical levels involved in the segmentation and labelling of a prosodic data-base.

Fichiers supplémentaires

Publié-e

2022-12-03

Comment citer

1.
Gaelen-Haumont G. Grammatical Components and Macro-Prosody: Quantitative Analysis Toward Statistical Correlations. Canadian Acoustics [Internet]. 3 déc. 2022 [cité 21 nov. 2024];14(3 bis):82-3. Disponible à: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/3531

Numéro

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique