DocumentCode
2876053
Title
A* based joint segmentation and classification of dialog acts in multiparty meetings
Author
Zimmermann, Matthias ; Liu, Yang ; Shriberg, Elizabeth ; Stolcke, Andreas
Author_Institution
Int. Comput. Sci. Inst., Berkeley, CA
fYear
2005
fDate
27-27 Nov. 2005
Firstpage
215
Lastpage
219
Abstract
We investigate the use of the A* algorithm for joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus. For the heuristic search a probabilistic framework is used that is based on DA-specific N-gram language models. Furthermore, two new metrics for performance evaluation are motivated and described and the influence of different metrics for performance evaluation is demonstrated. The proposed method is evaluated on both traditional and new metrics, and compared with our previous work on the same task
Keywords
interactive systems; natural languages; search problems; speech processing; ICSI Meeting Corpus; dialog acts; heuristic search; joint classification; joint segmentation; multiparty meetings; performance evaluation; specific N-gram language models; Ambient intelligence; Computer science; Contracts; Degradation; Distributed computing; Information retrieval; Solids; Speech processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Speech Recognition and Understanding, 2005 IEEE Workshop on
Conference_Location
San Juan
Print_ISBN
0-7803-9478-X
Electronic_ISBN
0-7803-9479-8
Type
conf
DOI
10.1109/ASRU.2005.1566537
Filename
1566537
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