Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
557621 | Biomedical Signal Processing and Control | 2012 | 9 Pages |
Abstract
In this paper we report the results obtained from experiments with a database of emotional speech in English in order to find the most important acoustic features to estimate Emotion Primitives which determine the emotional content on speech. We are interested in exploiting the potential benefits of continuous emotion models, so in this paper we demonstrate the feasibility of applying this approach to annotation of emotional speech and we explore ways to take advantage of this kind of annotation to improve the automatic classification of basic emotions.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Humberto Pérez-Espinosa, Carlos A. Reyes-García, Luis Villaseñor-Pineda,