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.
π
Interdisciplinary Bridge
β Artificial Intelligence and Mathematics & Optimization
π§
Keyword Pioneer
β multi-party dialogue
π£
Hot Topic Early Bird
β conversation analysis
π
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