COMPARISON BETWEEN GMM-SVM SEQUENCE KERNEL AND GMM: APPLICATION TO SPEECH EMOTION RECOGNITION
Speech emotion recognition aims at automatically identifying the emotional or physical state of a human being from his or her voice. The emotional state is an important factor in human communication, because it provides feedback information in many applications. This paper makes a comparison of two...
Main Authors: | I. TRABELSI, D. BEN AYED, N. ELLOUZE |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor's University
2016-09-01
|
Series: | Journal of Engineering Science and Technology |
Subjects: | |
Online Access: | http://jestec.taylors.edu.my/Vol%2011%20issue%209%20September%202016/11_9_1.pdf |
Similar Items
-
WAVELETS FOR SPEAKER RECOGNITION USING GMM CLASSIFIER
by: Keerthi Anand V D
Published: (2017-06-01) -
Determination of Formant Features in Czech and Slovak for GMM Emotional Speech Classifier
by: J. Pribil, et al.
Published: (2013-04-01) -
GMM-Based Evaluation of Synthetic Speech Quality Using 2D Classification in Pleasure-Arousal Scale
by: Jiří Přibil, et al.
Published: (2021-12-01) -
Johansen’s Reduced Rank Estimator Is GMM
by: Bruce E. Hansen
Published: (2018-05-01) -
Study of Kernel Selection and Construction Kernel for SVM Classification
by: Lou XIONGWEI, et al.
Published: (2013-10-01)