1Research Scholar, JNTUK Computer Science and Engineering, Kakinada, Andhra Pradesh, India. Email: rksadhumarch4@rediffmail.com
2Department of Computer Science & Engineering, UCEV, JNTUK, Vizianagaram, Andhra Pradesh, India. raob4u@yahoo.com
Online published on 27 June, 2017.
In this paper we explored different spectral features such as MFCC, pitch chroma, skewness and centroid for emotion recognition. The emotions considered in this study are Fear, Anger, Neutral, and Happy. The system is evaluated for various combinations of spectral features. It is established that the combination of MFCC and skewness gave better recognition performance when compared with other combinations. These experiments are conducted and evaluated using Gaussian Mixture models (GMMs). The data base used in this study is Telugu emotion speech corpus (IIIT-KGP).
Emotion recognition, Spectral features, GMM, MFCC, Skewness, Centroid, Pitch chroma
