Ninth International Conference on Spoken Language Processing

Pittsburgh, PA, USA
September 17-21, 2006

On Speaker-Specific Prosodic Models for Automatic Dialog Act Segmentation of Multi-Party Meetings

Jáchym Kolár (1,2), Elizabeth Shriberg (1,3), Yang Liu (1,4)

(1) International Computer Science Institute, USA
(2) Department of Cybernetics, University of West Bohemia in Pilsen, Czech Republic
(3) SRI International, USA; (4) University of Texas at Dallas, USA

We explore speaker-specific prosodic modeling for dialog act segmentation of speech from the ICSI Meeting Corpus. We ask whether features beyond pauses help individual speakers, and whether some speakers benefit from prosody models trained on only their speech. We find positive results for both questions, although the second is more complex. Feature analysis reveals that duration is the most used feature type, followed by pause and pitch features. Results also suggest a difference between native and nonnative speakers in feature usage patterns. We conclude that features beyond pauses are useful for dialog act segmentation in natural conversation, and that for some speakers, speaker-specific training yields further gains.

Full Paper

Bibliographic reference.  Kolár, Jáchym / Shriberg, Elizabeth / Liu, Yang (2006): "On speaker-specific prosodic models for automatic dialog act segmentation of multi-party meetings", In INTERSPEECH-2006, paper 1900-Wed3WeS.4.