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Citation

Kolář, J. and Liu, Y. and Shriberg, E. : Speaker Adaptation of Language Models for Automatic Dialog Act Segmentation of Meetings . Interspeech, vol. 1, p. 1621-1624, 2007.

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Abstract

Dialog act (DA) segmentation in meeting speech is important for meeting understanding. In this paper, we explore speaker adaptation of hidden event language models (LMs) for DA segmentation using the ICSI Meeting Corpus. Speaker adaptation is performed using a linear combination of the generic speakerindependent LM and an LM trained on only the data from individual speakers. We test the method on 20 frequent speakers, on both reference word transcripts and the output of automatic speech recognition. Results indicate improvements for 17 speakers on reference transcripts, and for 15 speakers on automatic transcripts. Overall, the speaker-adapted LM yields statistically significant improvement over the baseline LM for both test conditions.

Detail of publication

Title: Speaker Adaptation of Language Models for Automatic Dialog Act Segmentation of Meetings
Author: Kolář, J. ; Liu, Y. ; Shriberg, E.
Language: English
Date of publication: 1 Jan 2007
Year: 2007
Type of publication: Papers in journals
Title of journal or book: Interspeech
Číslo vydání: 1
Page: 1621 - 1624
ISBN: 1990-9772
/ 2008-04-07 14:17:26 /

Keywords

language model adaptation, speaker adaptation, meetings, dialog act segmentation, sentence segmentation

BibTeX

@ARTICLE{KolarJ_2007_SpeakerAdaptationof,
 author = {Kol\'{a}\v{r}, J. and Liu, Y. and Shriberg, E.},
 title = {Speaker Adaptation of Language Models for Automatic Dialog Act Segmentation of Meetings},
 year = {2007},
 journal = {Interspeech},
 volume = {1},
 pages = {1621-1624},
 ISBN = {1990-9772},
 url = {http://www.kky.zcu.cz/en/publications/KolarJ_2007_SpeakerAdaptationof},
}