Browsing Bildiri Koleksiyonu by Author "Polat G."
Now showing items 1-3 of 3
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Determining efficiency of speech feature groups in emotion detection [Ses özni·teli·k gruplarinin duygu tespi·ti·nde etki·nli·kleri·ni·n beli·rlenmesi·]
Features, extract from speech parameter are frequently used in emotion detection problem. Prosodic, MFCC, LPC and band energy feature groups are commonly used in literature to detect emotion in speech. The aim of the study ... -
Evalutation of performance of KNN, MLP and RBF classifiers in emotion detection problem [Duygu tespi·t problemi·nde KNN, MLP ve RBF siniflandiricilarin başarimlarinin degerlendi·ri·lmesi·]
Emotion Detection has gained increasing attention and become an active research area. The problem is solved with improved feature set with different number of feature groups, by employing different classifiers in order to ... -
On the comparison of classifiers' performance in emotion classification: Critiques and suggestions [Duygu siniflandirma problemlerinde siniflandirici performanslarinin karşilaştirilmasi: Eleştiri ve öneriler]
In literature there is a huge body of references available which compare various classifiers in a particular application. However, the reliability of such a comparison is only valid if the model parameters, performance ...
