Paper Info
Title
A Method For Automatic And Dynamic Estimation Of Discourse Genre Typology With Prosodic Features
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 multi-level caterogical oppositions on a continuous prosodic scale that can be interpreted in terms of +/- controlled speech.
Year
Venue
Keywords
2008
INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5
discourse genre, prosody, typology, discriminant analysis, agglomerative clustering
Field
DocType
Citations 
Prosody,Computer science,A priori and a posteriori,Typology,Artificial intelligence,Situational ethics,Natural language processing,Syntax,Linguistic classification,Similarity criterion,Speech recognition,Linear discriminant analysis,Linguistics
Conference
2
PageRank 
References 
Authors
0.50
2
5
Name
Order
Citations
PageRank
Nicolas Obin16811.76
Anne Lacheret-Dujour2256.24
Christophe Veaux31531390.95
Xavier Rodet4627107.87
Anne-Catherine Simon520.84