Fundamental Frequency Extraction Method using Central Clipping and its Importance for the Classification of Emotional State
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| Title | Fundamental Frequency Extraction Method using Central Clipping and its Importance for the Classification of Emotional State |
| Authors | |
| Abstract | 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. |
| Publisher | Faculty of Electrical Engineering and Computer Science |
| Date | 2012-11-24 |
| Source | Advances in Electrical and Electronic Engineering Vol 10, No 4 (2012): Special Issue |
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