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Kolář, J. and Shriberg, E. and Liu, Y. : Using prosody for automatic sentence segmentation of multi-party meetings . Lecture Notes in Artificial Intelligence , Lecture notes in artificial intelligence. 0302-9743 ; 4188, 4188, p. 629-636, Springer, Berlin , 2006.

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Abstract

We explore the use of prosodic features beyond pauses, including duration, pitch, and energy features, for automatic sentence segmentation of ICSI meeting data. Results show that (1) information from pauses is important, including pause duration both at the boundary and at the previous and following word boundaries; (2) adding duration, pitch, and energy features yields significant improvement over pause alone;(3) the integrated boosting-based model performs better than the HMM for ASR conditions; (4) training the boosting-based model on recognized words yields further improvement.

Detail of publication

Title: Using prosody for automatic sentence segmentation of multi-party meetings
Author: Kolář, J. ; Shriberg, E. ; Liu, Y.
Language: English
Date of publication: 11 Sep 2006
Year: 2006
Type of publication: Papers in journals
Title of journal or book: Lecture Notes in Artificial Intelligence
Edition: Lecture notes in artificial intelligence. 0302-9743 ; 4188
Series: 4188
Page: 629 - 636
ISBN: 0302-9743
Publisher: Springer
Address: Berlin
Date: 11 Sep 2006 - 15 Sep 2006
/ 2008-04-18 14:20:47 /

Keywords

automatic speech recognition, prosody, multiparty meetings, sentence segmentation

BibTeX

@ARTICLE{KolarJ_2006_Usingprosodyfor,
 author = {Kol\'{a}\v{r}, J. and Shriberg, E. and Liu, Y.},
 title = {Using prosody for automatic sentence segmentation of multi-party meetings},
 year = {2006},
 publisher = {Springer},
 journal = {Lecture Notes in Artificial Intelligence },
 address = {Berlin },
 pages = {629-636},
 series = {4188},
 ISBN = {0302-9743},
 url = {http://www.kky.zcu.cz/en/publications/KolarJ_2006_Usingprosodyfor},
}