A Quick Sequential Forward Floating Feature Selection Algorithm for Emotion Detection from Speech

被引：0
|
作者：
Brendel, Matyas [1 ]
Zaccarelli, Riccardo [1 ]
Devillers, Laurence [1 ]
机构：
[1] CNRS, LIMSI, F-75700 Paris, France
来源：
11TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2010 (INTERSPEECH 2010), VOLS 1-2 | 2010年
关键词：
emotion detection; feature selection heuristics;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present an improved Sequential Forward Floating Search algorithm. Subsequently, extensive tests are carried out on a selection of French emotional language resources well suited for a first impression on general applicability. A detailed analysis is presented to test the various modifications suggested one-by-one. Our conclusion is that the modification in the forward step result in a considerable improvement in speed (similar to 80%) while no considerable and systematic loss in quality is experienced. The modifications in the backward step seem to have only significance when a higher number of features is achieved. The final clarification of this issue remains the task of future work. As a result we may suggest a quick feature selection algorithm, which is practically more suitable for the state of the art, larger corpora and wider feature-banks. Our quick SFFS is general: it can also be used in any other field of application.
引用
收藏
页码：1157 / 1160
页数：4
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