Michelina Savino


Integrating Audio and Visual Information for Modelling Communicative Behaviours Perceived as Different
Michelina Savino | Laura Scivetti | Mario Refice
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

In human face-to-face interaction, participants can rely on a number of audio-visual information for interpreting interlocutors’ communicative intentions, such information strongly contributing to the successfulness of communication. Modelling these typical human abilities represents a main objective in human communication research, including technological applications like human-machine interaction. In this pilot study we explore the possibility of using audio-visual parameters for describing/measuring the differences perceived in interlocutor’s communicative behaviours. Preliminary results derived from the multimodal analysis of a single subject seem to indicate that measuring the distribution of some prosodic and hand gesture events which are temporally co-occurring contribute to the accounting of such perceived differences. Moreover, as far as gesture events are concerned, it has been observed that relevant information are not simply to be found in the occurences of single gestures, but mainly in some gesture modalities (for example, ’single stroke’ vs ’multiple stroke’ gestures, one-hand vs both-hands gestures, etc?). In this paper we also introduce and describe a software package, ViSuite, we developed for multimodal processing and used for the work described in his paper.


Methods and Tools for Prosodic Analysis of a Spoken Italian Corpus
Michelina Savino | Mario Refice | Domenico Daleno
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)


SegWin: a Tool for Segmenting, Annotating, and Controlling the Creation of a Database of Spoken Italian Varieties
Mario Refice | Michelina Savino | Marco Altieri | Roberto Altieri
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)


Can pitch accent type convey information status in yes-no questions?
Martine Grice | Michelina Savino
Concept to Speech Generation Systems