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HA-HA SIGNED

LAUGHTER IN CONVERSATION: ENHANCING THE NATURALNESS OF DIALOGUE SYSTEMS

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "HA-HA" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAET BIELEFELD 

Organization address
address: UNIVERSITAETSSTRASSE 25
city: BIELEFELD
postcode: 33615
website: www.uni-bielefeld.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 159˙460 €
 EC max contribution 159˙460 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-11-01   to  2020-11-07

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET BIELEFELD DE (BIELEFELD) coordinator 159˙460.00

Map

 Project objective

With the wide-scale adoption of speech-based applications, the research community has started focusing on ways to improve naturalness and expressiveness of human-machine interactions. Among the directions pursued, the study of paralinguistic phenomena in conversation plays an important role. This project proposes to investigate conversational laughter, both from a fundamental research perspective as well as from an application viewpoint. The addressed research question concerns the context in which social laughter occurs, in particular the use of acoustic-prosodic cues in marking it. The findings of this investigation will directly feed into a spoken dialogue system, with the aim of increasing its perceived naturalness. In a first step, phrase- and turn-level analyses will be performed to identify the range of cues used by speakers to mark the use of laughter in conversation. Next, state-of-the-art signal processing methods combined with prosodic information will be used to automatically detect and segment laughter. This will allow the analysis of a larger number of conversational corpora which would, in turn, improve the generalizability of the results. Finally, a laughter-enhanced dialogue system will be implemented and its naturalness will be tested through perception experiments. It is expected that the laughter-enhanced system will be perceived more natural and that documented gender differences found in the production of laughter will be found also in its perception.

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The information about "HA-HA" are provided by the European Opendata Portal: CORDIS opendata.

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