Reordering Features with Weights Fusion in Multiclass and Multiple-Kernel Speech Emotion Recognition
Joint Authors
Xia, Kewen
Lin, Yongliang
Jiang, Xiaoqing
Wang, Lingyin
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-27
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
The selection of feature subset is a crucial aspect in speech emotion recognition problem.
In this paper, a Reordering Features with Weights Fusion (RFWF) algorithm is proposed for selecting more effective and compact feature subset.
The RFWF algorithm fuses the weights reflecting the relevance, complementarity, and redundancy between features and classes comprehensively and implements the reordering of features to construct feature subset with excellent emotional recognizability.
A binary-tree structured multiple-kernel SVM classifier is adopted in emotion recognition.
And different feature subsets are selected in different nodes of the classifier.
The highest recognition accuracy of the five emotions in Berlin database is 90.549% with only 15 features selected by RFWF.
The experimental results show the effectiveness of RFWF in building feature subset and the utilization of different feature subsets for specified emotions can improve the overall recognition performance.
American Psychological Association (APA)
Jiang, Xiaoqing& Xia, Kewen& Wang, Lingyin& Lin, Yongliang. 2017. Reordering Features with Weights Fusion in Multiclass and Multiple-Kernel Speech Emotion Recognition. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1175429
Modern Language Association (MLA)
Jiang, Xiaoqing…[et al.]. Reordering Features with Weights Fusion in Multiclass and Multiple-Kernel Speech Emotion Recognition. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1175429
American Medical Association (AMA)
Jiang, Xiaoqing& Xia, Kewen& Wang, Lingyin& Lin, Yongliang. Reordering Features with Weights Fusion in Multiclass and Multiple-Kernel Speech Emotion Recognition. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1175429
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175429