Accession Number:

ADA459018

Title:

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

Descriptive Note:

Conference paper

Corporate Author:

INTERNATIONAL COMPUTER SCIENCE INST BERKELEY CA

Report Date:

2006-01-01

Pagination or Media Count:

5.0

Abstract:

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.

Subject Categories:

  • Linguistics
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE