Title :
Performance optimization on emotion recognition from speech
Author :
Durukal, Mesut ; Hocaoglu, A. Koksal
Author_Institution :
Elektron. Muhendisligi Bolumu, Gebze Teknik Univ., Gebze, Turkey
Abstract :
This work presents MFCC-based emotion recognition from speech. For this purpose; after features of labeled speech signals are extracted and a classifier is trained, the classification performance is measured over test data. Contribution of each parameter to the classification performance is exhibited by training the system with different parameters. Additionally; the role of MFCC features in emotion recognition is analyzed by comparing the results to others obtained with additional features.
Keywords :
emotion recognition; optimisation; speech processing; MFCC-based emotion recognition; classification performance; labeled speech signals; mel-frequency cepstral coefficients; performance optimization; Emotion recognition; Hidden Markov models; Mel frequency cepstral coefficient; Speech; Speech recognition; Support vector machines; emotion classification; emotion recognition from speech; performance improvement on emotion recognition;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129820
