Multi-Stage Recognition of Speech Emotion Using Sequential Forward Feature Selection

Electrical, Control and Communication Engineering 2016
Tatjana Liogienė, Liogienė Tamulevičius

The intensive research of speech emotion recognition introduced a huge collection of speech emotion features. Large feature sets complicate the speech emotion recognition task. Among various feature selection and transformation techniques for one-stage classification, multiple classifier systems were proposed. The main idea of multiple classifiers is to arrange the emotion classification process in stages. Besides parallel and serial cases, the hierarchical arrangement of multi-stage classification is most widely used for speech emotion recognition. In this paper, we present a sequential-forward-feature-selection-based multi-stage classification scheme. The Sequential Forward Selection (SFS) and Sequential Floating Forward Selection (SFFS) techniques were employed for every stage of the multi-stage classification scheme. Experimental testing of the proposed scheme was performed using the German and Lithuanian emotional speech datasets. Sequential-feature-selection-based multi-stage classification outperformed the single-stage scheme by 12–42 % for different emotion sets. The multi-stage scheme has shown higher robustness to the growth of emotion set. The decrease in recognition rate with the increase in emotion set for multi-stage scheme was lower by 10–20 % in comparison with the single-stage case. Differences in SFS and SFFS employment for feature selection were negligible.

Atslēgas vārdi
Classification algorithms; Emotion recognition; Human voice
DOI
10.1515/ecce-2016-0005
Hipersaite
https://content.sciendo.com/view/journals/ecce/10/1/article-p35.xml

Liogienė, T., Tamulevičius, L. Multi-Stage Recognition of Speech Emotion Using Sequential Forward Feature Selection. Electrical, Control and Communication Engineering, 2016, Vol.10, 35.-41.lpp. ISSN 2255-9140. e-ISSN 2255-9159. Pieejams: doi:10.1515/ecce-2016-0005

Publikācijas valoda
English (en)