%0 Journal Article %T Fundamental Frequency Extraction Method using Central Clipping and its Importance for the Classification of Emotional State %A Pavol Partila %A Miroslav Voznak %A Martin Mikulec %A Jaroslav Zdralek %J Advances in Electrical and Electronic Engineering %D 2012 %I Technical University of Ostrava %X The paper deals with a classification of emotional state. We implemented a method for extracting the fundamental speech signal frequency by means of a central clipping and examined a correlation between emotional state and fundamental speech frequency. For this purpose, we applied an approach of exploratory data analysis. The ANOVA (Analysis of variance) test confirmed that a modification in the speaker's emotional state changes the fundamental frequency of human vocal tract. The main contribution of the paper lies in investigation, of central clipping method by the ANOVA. %K Central clipping %K DC offset %K emotional state %K features extraction %K hamming smoothing window %K homoscedasticity %K pre-emphasis. %U http://advances.utc.sk/index.php/AEEE/article/view/738