Towards measuring similarity between emotional corpora
Mátyás Brendel, Riccardo Zaccarelli, Björn Wolfgang Schuller, Loïc Devilliers · mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) · 2010
In this paper we suggest feature selection and Principal Component Analysis as a way to analyze and compare corpora of emotional speech.To this end, a fast improvement of the Sequential Forward Floating Search algorithm is introduced, and subsequently extensive tests are run on a selection of French emotional language resources well suited for a first impression on general applicability.Tools for comparing feature-sets are developed to be able to evaluate the results of feature selection in order to obtain conclusions on the corpora or sub-corpora divided by gender.