Speaker Adaptation of Language Models for Automatic Dialog Act Segmentation of Meetings

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F07%3A00500992" target="_blank" >RIV/49777513:23520/07:00500992 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Speaker Adaptation of Language Models for Automatic Dialog Act Segmentation of Meetings
Original language description
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.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
8th Annual Conference of the International Speech Communication Association (Interspeech 2007)
ISBN
978-1-60560-316-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Curran Associates, Inc.
Place of publication
Red Hook, NY
Event location
Antwerp
Event date
Aug 31, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000269998601351

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