Evaluation of Speech Emotion Classification Based on GMM and Data Fusion
1.
SYSNO ASEP
0345919
Document Type
C - Proceedings Paper (int. conf.)
R&D Document Type
Conference Paper
Title
Evaluation of Speech Emotion Classification Based on GMM and Data Fusion
Author(s)
Vondra, Martin (URE-Y) Vích, Robert (URE-Y)
Source Title
CROSS-MODAL ANALYSIS OF SPEECH, GESTURES, GAZE AND FACIAL EXPRESSIONS. - Berlín : Springer-Verlag, 2009 / Esposito A. ; Vích R.
- ISSN 0302-9743
- ISBN 978-3-642-03319-3
Pages
s. 98-105
Number of pages
8 s.
Action
COST 2102 International Conference on Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions
Event date
15.10.2008-18.10.2008
VEvent location
Praha
Country
CZ - Czech Republic
Event type
WRD
Language
eng - English
Country
DE - Germany
Keywords
Speech Emotions Classification ; Gaussian Mixture Models ; Data Fusion
Subject RIV
JD - Computer Applications, Robotics
R&D Projects
OC08010 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
1QS108040569 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
CEZ
AV0Z20670512 - URE-Y (2005-2011)
UT WOS
000270074700010
Annotation
This paper describes classification system for emotions recognition from speech signal based on GMM classifiers for segmental and suprasegmental speech parameters. Paper also describes parameter and score level fusion.
