Abstract
This paper investigates the performance of automatic emotional state categorization from speech signals on the Serbian Emotional Speech Corpus, named GEES, against the corresponding human performance. We employ a multistage strategy along with sophisticated features used for automatic emotional state categorization. Our study is the first attempt to apply a machine learning technique to the GEES where the human performance was only available prior to our study. Our investigation indicates that the use of a multistage categorization strategy yields behaviors similar to what human perceives and the performance close to human being's. Copyright © 2008 ISCA.
| Original language | English |
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| Title of host publication | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH|Proc. Annu. Conf. Int. Speech. Commun. Assoc., INTERSPEECH |
| Pages | 2771-2774 |
| Number of pages | 3 |
| Publication status | Published - 2008 |
| Event | INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association - Brisbane, QLD Duration: 1 Jul 2008 → … |
Conference
| Conference | INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association |
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| City | Brisbane, QLD |
| Period | 1/07/08 → … |
Keywords
- Emotional speech categorization
- Machine vs. human performance
- Multistage categorization strategy