SER_AMPEL: a multi-source dataset for speech emotion recognition of Italian older adults
Abstract
In this paper, SER_AMPEL, a multi-source dataset for speech emotion recognition (SER) is presented. The peculiarity of the dataset is that it is collected with the aim of providing a reference for speech emotion recognition in case of Italian older adults. The dataset is collected following different protocols, in particular considering acted conversations, extracted from movies and TV series, and recording natural conversations where the emotions are elicited by proper questions. The evidence of the need for such a dataset emerges from the analysis of the state of the art. Preliminary considerations on the critical issues of SER are reported analyzing the classification results on a subset of the proposed dataset.
Keywords
Cite
@article{arxiv.2311.14483,
title = {SER_AMPEL: a multi-source dataset for speech emotion recognition of Italian older adults},
author = {Alessandra Grossi and Francesca Gasparini},
journal= {arXiv preprint arXiv:2311.14483},
year = {2023}
}
Comments
11 pages, 1 Figure, 7 Tables, submitted to ForItAAL 2023 (12{\deg} Forum Italiano Ambient Assisted Living)