| Autor: |
Qi-rong Mao, Yong-zhao Zhan |
| Zdroj: |
Computer Science & Information Systems; 2010, Vol. 7 Issue 1, p211-221, 11p, 2 Diagrams, 3 Charts |
| Abstrakt: |
The article presents a study which aims to improve the recognition accuracy of speech emotion recognition using a hierarchical method based on improved decision directed acyclic graph support vector machine (SVM) (improved DDAGSVM). The study was conducted using two emotion speech corpora featuring short utterances covering seven emotions. Results showed that the improved DDAGSVM has the highest recognition accuracy. |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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