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Presented paper deals with problems related to automatic recognition of expressive speech states. The analysis was performed using the Slovene part of the emotional speech corpus recorded under the international project Interface. The main focuses of presented emotional multi-level based feature extraction method are not the emotions itself but rather three expressive states: positive, negative and...
When browsing news on the web, various emotions may be evoked in readers and furthermore cause different influence on their minds and life. We expect that emotional analysis and classification of text may provide good performance and significance to users surfing the Internet. Most previous research only focus on bi-emotion classification, that is, Positive and Negative, e.g., identifying whether...
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