Classification of emotional speech using spectral pattern features

Classification of emotional speech using spectral pattern features

Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we propose Spectral Pattern features (SPs) and Harmo...

Full description

Bibliographic Details
Main Authors: Ali Harimi, Ali Shahzadi, Alireza Ahmadyfard, Khashayar Yaghmaie
Format: Article
Language:English
Published: Shahrood University of Technology 2014-06-01
Series:Journal of Artificial Intelligence and Data Mining
Subjects:
Speech emotion recognition
spectral pattern features
harmonic energy features
cross validation
Online Access:http://jad.shahroodut.ac.ir/article_150_91f7a51f3a7917443555dfe0b2992b62.pdf

Internet

http://jad.shahroodut.ac.ir/article_150_91f7a51f3a7917443555dfe0b2992b62.pdf

Similar Items