2017 INTERSPEECH INTERSPEECH 2017

Entrainment in Multi-Party Spoken Dialogues at Multiple Linguistic Levels

Abstract

Linguistic entrainment, the phenomena whereby dialogue partners speak more similarly to each other in a variety of dimensions, is key to the success and naturalness of interactions. While there is considerable evidence for both lexical and acoustic-prosodic entrainment, little work has been conducted to investigate the relationship between these two different modalities using the same measures in the same dialogues, specifically in multi-party dialogue. In this paper, we measure lexical and acoustic-prosodic entrainment for multi-party teams to explore whether entrainment occurs at multiple levels during conversation and to understand the relationship between these two modalities.

πŸŒ‰ Interdisciplinary Bridge β€” Artificial Intelligence and Mathematics & Optimization
🧭 Keyword Pioneer β€” multi-party dialogue
🐣 Hot Topic Early Bird β€” conversation analysis
🐝 Cross-Pollinator β€” Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio