Automatic Classification of French Spontaneous Oral Speech into Injunction and No-injunction Classes

Abdenour Hacine-Gharbi, Philippe Ravier

2020

Abstract

The injunctive values are of particular interest for many studies dealing with oral speech interactions, e.g. in automatic meaning processing or in the field of language pathology understanding and therapy. We propose in this paper an automatic classification system using a subset of the RAVIOLI database in order to evaluate the role of prosody in the definition of injunctive values. RAVIOLI is constituted of more than 100 hours wild massive oral spontaneous speech. This work is a preliminary study that exploits a subset of 197 injunction values that have been labelled as exploitable utterances by two linguistic experts augmented by 198 of non-injunctive utterances. Many feature types were considered for this study: some classical features employed in speech community for automatic speech recognition tasks (LPCC, MFCC and PLP with their associated dynamic features) and some prosodic features (pitch and energy, with their associated dynamic features). The results clearly show the importance of prosodic features for the classification of the utterances into injunction or no-injunction classes and particularly the predominance of the log energy feature.

Paper Citation

in Harvard Style

Hacine-Gharbi A. and Ravier P. (2020). Automatic Classification of French Spontaneous Oral Speech into Injunction and No-injunction Classes. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-397-1, pages 638-644. DOI: 10.5220/0009354406380644

in Bibtex Style

@conference{icpram20,
author={Abdenour Hacine-Gharbi and Philippe Ravier},
title={Automatic Classification of French Spontaneous Oral Speech into Injunction and No-injunction Classes},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2020},
pages={638-644},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009354406380644},
isbn={978-989-758-397-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Automatic Classification of French Spontaneous Oral Speech into Injunction and No-injunction Classes
SN - 978-989-758-397-1
AU - Hacine-Gharbi A.
AU - Ravier P.
PY - 2020
SP - 638
EP - 644
DO - 10.5220/0009354406380644