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

Saturnino Luz*, Jing Su

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

We present an investigation of the relevance of simple conversational features as indicators of topic shifts in small-group meetings. Three proposals for representation of dialogue data are described, and their effectiveness assessed at detecting topic boundaries on a large section of the Augmented Multi-Party Interaction (AMI) corpus. These proposals consist in representing a speech event through combinations of features such as the lengths of vocalisations, pauses and speech overlaps in the immediate temporal context of the event. Results show that timing of vocalisations alone, within a 7-vocalisation window (3 on each side of the vocalisation under consideration), can be an effective predictor of topic boundaries, outperforming topic segmentation methods based on lexical features. Pause and overlap information on their own also yield comparably good segmentation accuracy, suggesting that simple methods could complement or even serve as alternatives to methods which require more demanding speech processing for meeting browsing.

Original languageEnglish
Pages1369-1372
Number of pages4
Publication statusPublished - 2010
Event11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010 - Makuhari, Chiba, Japan
Duration: 26 Sep 201030 Sep 2010

Conference

Conference11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010
Country/TerritoryJapan
CityMakuhari, Chiba
Period26/09/1030/09/10

Keywords

  • Conversational features
  • Dialogue
  • Meeting browsing
  • Multi-party interaction
  • Speech
  • Topic segmentation

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