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
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;
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2007.4371438