Title :
Affect sensing in speech: Studying fusion of linguistic and acoustic features
Author :
Osherenko, Alexander ; André, Elisabeth ; Vogt, Thurid
Author_Institution :
Univ. of Augsburg Germany, Augsburg, Germany
Abstract :
Recently, there has been considerable interest in the recognition of affect in language. In this paper, we investigate how information fusion using linguistic (lexical, stylometric, deictic) and acoustic information can be utilized for this purpose and present a comprehensive study of fusion. We examine fusion at the decision level and the feature level and discuss obtained results.
Keywords :
sensor fusion; speech processing; acoustic features; affect sensing; information fusion; linguistic features; Conductivity; Emotion recognition; Motion pictures; Natural languages; Performance analysis; Robot sensing systems; Root mean square; Skin; Speech recognition; Visualization;
Conference_Titel :
Affective Computing and Intelligent Interaction and Workshops, 2009. ACII 2009. 3rd International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4244-4800-5
Electronic_ISBN :
978-1-4244-4799-2
DOI :
10.1109/ACII.2009.5349559
