Speech Emotion Recognition System
Main Article Content
Speech Emotion Recognition (SER) is a research topic which has a wide range of applications. The features of speech such as, Mel Frequency cepstrum coefficients (MFCC ) are extracted which are uttered in the speech. To classify different emotional states such as boredom, happiness, sadness, neutral, anger, from various emotional sound tracks from a database containing emotional speech SVM is used as classifier. SVM is used for classification of emotions. The accuracy obtained in SVM is very much higher.
How to Cite
, R. N. S. G. N. “Speech Emotion Recognition System”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 3, no. 5, May 2015, pp. 2839-42, doi:10.17762/ijritcc.v3i5.4343.