DocumentCode
1950759
Title
What Speech Tells Us About Discourse: The Role of Prosodic and Discourse Features in Speech Act Classification
Author
Hoque, Mohammed E. ; Sorower, Mohammad S. ; Yeasin, Mohammed ; Louwerse, Max M.
Author_Institution
Inst. for Intelligent Syst., Memphis
fYear
2007
fDate
12-17 Aug. 2007
Firstpage
2999
Lastpage
3004
Abstract
This paper explores the relative importance of discourse features, prosodic features and their fusion in robust classification of speech acts. Five different feature selection algorithms were used to select set of features to improve the robustness of the classification. The results showed that the ensemble-based classifiers performed best in the classification of 12 speech acts using subsets of both prosodic and discourse features.
Keywords
speech recognition; speech synthesis; feature selection algorithm; prosodic feature; speech act classification; speech recognition; Availability; Biomedical engineering; Humans; Intelligent systems; Neural networks; Pattern analysis; Psychology; Robustness; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location
Orlando, FL
ISSN
1098-7576
Print_ISBN
978-1-4244-1379-9
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2007.4371438
Filename
4371438
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