The relevance of timing, pauses and overlaps in dialogues: Detecting topic changes in scenario based meetings

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 1369-1372

  Luz, Saturnino ^a   Su, Jing ^a  

^a TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

Conversational features; Dialogue; Meeting browsing; Multi party interaction; Speech; Topic segmentation

Indexed keywords

SPEECH; SPEECH COMMUNICATION; SPEECH PROCESSING; TIMING CIRCUITS; FEATURE EXTRACTION;

CONVERSATIONAL FEATURES; DIALOGUE; MEETING BROWSING; MULTI-PARTY INTERACTIONS; TOPIC SEGMENTATIONS; CONVERSATIONAL FEATURE; DIALOG; MULTIPARTY INTERACTION; SCENARIO-BASED; SEGMENTATION METHODS; SIMPLE++; SPEECH EVENTS; SPEECH-OVERLAPS;

SPEECH RECOGNITION; SPEECH PROCESSING;

EID: 79959831977     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. S. Renals, T. Hain, and H. Bourlard, "Recognition and interpretation of meetings: The AMI and AMIDA projects," in Proc. IEEE Works. on Autom. Speech Recognition and Understanding (ASRU'07), 2007.
2. A. Gruenstein, J. Niekrasz, and M. Purver, "Meeting structure annotation: Data and tools," in Proceedings of the 6th SIGdial Workshop on Discourse and Dialogue, Lisbon, 2005, pp. 117-127.
3. S. Banerjee and A. I. Rudnicky, "Segmenting meetings into agenda items by extracting implicit supervision from human note-taking," in Procs. of IUI'07. ACM, 2007, pp. 151-159. (Pubitemid 47464000)
4. C. L. Wayne, "Topic detection and tracking (TDT): Overview and perspectives," in Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop, Virginia, 1998.
5. M. Galley, K. R. McKeown, E. Fosler-Lussier, and H. Jing, "Discourse segmentation of multi-party conversation," in Proceedings of the 41st Annual Meeting of the ACL, 2003, pp. 562-569.
6. P. Hsueh, J. D. Moore, and S. Renals, "Automatic segmentation of multiparty dialogue," in Proceedings of the 11th Conference of the European Chapter of the ACL, 2006, pp. 273-277.
7. P.-Y. Hsueh and J. D. Moore, "Combining multiple knowledge sources for dialogue segmentation in multimedia archives." in Proceedings of the 45th Annual Meeting of the ACL, 2007.
8. M. Sherman and Y. Liu, "Using hidden Markov models for topic segmentation of meeting transcripts," in Proceedings of the IEEE Spoken Language Technology Workshop, 2008, pp. 185-188.
9. H. Zhang, "The optimality of Naive Bayes," in Proceedings of the 7th International Florida Artificial Intelligence Research Society Conference. AAAI Press, 2004.
10. S. Luz, "Locating case discussion segments in recorded medical team meetings," in ACM Multimedia Wsp. on Searching Spontaneous Conversational Speech. Beijing: ACM, 2009, pp. 21-30.
11. L. Pevzner and M. A. Hearst, "A critique and improvement of an evaluation metric for text segmentation," Computational Linguistics, vol. 28, pp. 19-36, Mar 2002.