loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Licia Sbattella ; Luca Colombo ; Carlo Rinaldi ; Roberto Tedesco ; Matteo Matteucci and Alessandro Trivilini

Affiliation: Politecnico di Milano, Italy

Keyword(s): Natural Language Processing, Communication Style Recognition, Emotion Recognition.

Abstract: Many psychological and social studies highlighted the two distinct channels we use to exchange information among us—an explicit, linguistic channel, and an implicit, paralinguistic channel. The latter contains information about the emotional state of the speaker, providing clues about the implicit meaning of the message. In particular, the paralinguistic channel can improve applications requiring human-machine interactions (for example, Automatic Speech Recognition systems or Conversational Agents), as well as support the analysis of human-human interactions (think, for example, of clinic or forensic applications). In this work we present PrEmA, a tool able to recognize and classify both emotions and communication style of the speaker, relying on prosodic features. In particular, communication-style recognition is, to our knowledge, new, and could be used to infer interesting clues about the state of the interaction. We selected two sets of prosodic features, and trained two classifi ers, based on the Linear Discriminant Analysis. The experiments we conducted, with Italian speakers, provided encouraging results (Ac=71% for classification of emotions, Ac=86% for classification of communication styles), showing that the models were able to discriminate among emotions and communication styles, associating phrases with the correct labels. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 100.26.35.111

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Sbattella, L.; Colombo, L.; Rinaldi, C.; Tedesco, R.; Matteucci, M. and Trivilini, A. (2014). Extracting Emotions and Communication Styles from Vocal Signals. In Proceedings of the International Conference on Physiological Computing Systems - PhyCS; ISBN 978-989-758-006-2; ISSN 2184-321X, SciTePress, pages 183-195. DOI: 10.5220/0004699301830195

@conference{phycs14,
author={Licia Sbattella. and Luca Colombo. and Carlo Rinaldi. and Roberto Tedesco. and Matteo Matteucci. and Alessandro Trivilini.},
title={Extracting Emotions and Communication Styles from Vocal Signals},
booktitle={Proceedings of the International Conference on Physiological Computing Systems - PhyCS},
year={2014},
pages={183-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004699301830195},
isbn={978-989-758-006-2},
issn={2184-321X},
}

TY - CONF

JO - Proceedings of the International Conference on Physiological Computing Systems - PhyCS
TI - Extracting Emotions and Communication Styles from Vocal Signals
SN - 978-989-758-006-2
IS - 2184-321X
AU - Sbattella, L.
AU - Colombo, L.
AU - Rinaldi, C.
AU - Tedesco, R.
AU - Matteucci, M.
AU - Trivilini, A.
PY - 2014
SP - 183
EP - 195
DO - 10.5220/0004699301830195
PB - SciTePress