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Exploring prosody in interaction control.

Jens Edlund1, Mattias Heldner

  • 1KTH Speech, Music and Hearing, Stockholm, Sweden. edlund@speech.kth.se

Phonetica
|January 5, 2006
PubMed
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This study enhances human-computer interaction by analyzing conversational prosody to identify optimal turn-taking moments. Algorithms detect silent pauses and intonation, enabling machines to speak at appropriate times and avoid interrupting users.

Area of Science:

  • Computational Linguistics
  • Phonetics
  • Human-Computer Interaction

Background:

  • Efficient turn-taking is crucial for natural human-computer dialogue.
  • Current dialogue systems struggle with identifying appropriate moments to speak, leading to interruptions.
  • Prosodic cues, like pauses and intonation, play a key role in conversational turn-taking.

Purpose of the Study:

  • To investigate prosodic aspects of conversational turn-taking.
  • To improve the efficiency of identifying machine-appropriate speaking turns.
  • To model the listener's perception of interaction control phenomena.

Main Methods:

  • Examined the relationship between interaction control and its phonetic manifestation.
  • Developed algorithms for automatic online extraction of prosodic phenomena (silent pauses, intonation patterns).

Related Experiment Videos

  • Evaluated algorithms using Swedish map task data.

    • Main Results:

    • Automatically extracted prosodic features can identify suitable turn-taking opportunities.
    • These features help avoid interruptions in current dialogue systems.
    • The findings demonstrate the relevance of prosody for interaction control.

    Conclusions:

    • Prosodic analysis offers a viable method for improving dialogue system turn-taking.
    • Accurate detection of prosodic cues enhances the naturalness of human-computer conversation.
    • This research contributes to more efficient and less intrusive conversational AI.