Combining spectral and prosodic information for emotion recognition in the Interspeech 2009 Emotion Challenge

被引：0

作者：

Luengo, Iker ^{[1
]}

Navas, Eva ^{[1
]}

Hernaez, Inmaculada ^{[1
]}

机构：

[1] Univ Basque Country, Dept Elect & Telecommun, Madrid, Spain

来源：

INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5 | 2009年

关键词：

expressive speech; emotion; feature selection; DETECTION ALGORITHMS; SPEECH;

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：

This paper describes the system presented at the Interspecch 2009 Emotion Challenge. It relies on both spectral and prosodic features in order to automatically detect the emotional state of the speaker. As both kinds of features have very different characteristics, they are treated separately, creating two sub-classifiers, one using the spectral features and the other one using the prosodic ones. The results of these two classifiers are then combined with a fusion system based on Support Vector Machines.

引用

页码：332 / 335

页数：4

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