期刊
COMPUTER SPEECH AND LANGUAGE
卷 25, 期 1, 页码 4-28出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.csl.2009.12.003
关键词
Feature types; Feature selection; Automatic classification; Emotion
资金
- EU [IST-2001-37599]
- HUMAINE [IST-2002-50742]
In this article, we describe and interpret a set of acoustic and linguistic features that characterise emotional/emotion-related user states - confined to the one database processed: four classes in a German corpus of children interacting with a pet robot. To this end, we collected a very large feature vector consisting of more than 4000 features extracted at different sites. We performed extensive feature selection (Sequential Forward Floating Search) for seven acoustic and four linguistic types of features, ending up in a small number of 'most important' features which we try to interpret by discussing the impact of different feature and extraction types. We establish different measures of impact and discuss the mutual influence of acoustics and linguistics. (C) 2010 Elsevier Ltd. All rights reserved.
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