DocumentCode
454619
Title
Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings
Author
Zimmermann, Matthias ; Stolcke, Andreas ; Shriberg, Elizabeth
Author_Institution
Int. Comput. Sci. Inst.
Volume
1
fYear
2006
fDate
14-19 May 2006
Abstract
This paper investigates a scheme for joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus based on hidden-event language models and a maximum entropy classifier for the modeling of word boundary types. Specifically, the modeling of the boundary types takes into account dependencies between the duration of a pause and its surrounding words. Results for the proposed method compare favorably with our previous work on the same task
Keywords
maximum entropy methods; signal classification; speech processing; ICSI Meeting Corpus; dialog act classification; dialog act segmentation; hidden-event language models; maximum entropy classifier; multiparty meetings; word boundary types; Ambient intelligence; Computer science; Contracts; Degradation; Entropy; Information retrieval; Speech processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location
Toulouse
ISSN
1520-6149
Print_ISBN
1-4244-0469-X
Type
conf
DOI
10.1109/ICASSP.2006.1660087
Filename
1660087
Link To Document