Abstract / Description of output
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.
| Original language | English |
|---|---|
| Title of host publication | INTERSPEECH 2008 9th Annual Conference of the International Speech Communication Association |
| Pages | 1204-1207 |
| Number of pages | 4 |
| Publication status | Published - 2008 |
| Event | INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association - Brisbane, Australia Duration: 22 Sept 2008 → 26 Sept 2008 |
Conference
| Conference | INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association |
|---|---|
| Country/Territory | Australia |
| City | Brisbane |
| Period | 22/09/08 → 26/09/08 |
Keywords / Materials (for Non-textual outputs)
- agglomerative clustering
- discourse gene
- prosody
- typology
- Discriminant Analysis