Automatic Classification and Prediction of Attitudes: Audio - Visual Analysis of Video Blogs

被引：5

作者：

Madzlan, Noor Alhusna ^{[1
,2
]}

Huang, Yuyun ^{[1
]}

Campbell, Nick ^{[1
]}

机构：

[1] Univ Dublin Trinity Coll, Speech Commun Lab, Dublin 2, Ireland

[2] UPSI, Fac Languages & Commun, ELLD, Tanjong Malim, Malaysia

来源：

SPEECH AND COMPUTER (SPECOM 2015) | 2015年 / 9319卷

关键词：

Attitude prediction; Audio and visual feature analysis; Machine learning; Random forest; LibSVM;

D O I：

10.1007/978-3-319-23132-7_12

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 reports a study of automatic attitude recognition from a collection of over 500 segments of our video blog data. We annotated and analysed 3 different attitudinal states of the speakers. Following that, we extracted and analysed prosodic and visual features relevant to the classification task. We use machine learning methods and techniques to attain better understanding of the feature sets and their contribution to the prediction model.

引用

页码：96 / 104

页数：9

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