Title
Predicting Next Speaker Based On Head Movement In Multi-Party Meetings
Abstract
We proposed a model for predicting the next speaker in multi-party meetings by focusing on the participants' head movements measured by using a six degrees-of-freedom head tracker. Results of an analysis of head movements collected from multi-party meetings revealed differences in the amounts, amplitude, and frequency of movement of the head position and rotation of the speaker near the end of an utterance in turn-keeping and turn-taking. The results also revealed the differences in the amounts of movement, amplitude, and frequency of head position movement and rotation between the listeners in turn-keeping, turn-taking, and the next speaker in turn-taking. We then built a next speaker prediction model that features two processing steps to predict whether turn-taking or turn-keeping will occur and who the next speaker will be in turn-taking. The evaluation results for the model suggest that the speaker's and listeners' head movements contribute to predicting the next speaker.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP)
Head movement, next-speaker prediction, turn-taking, multi-party meetings, meeting analysis
Field
DocType
ISSN
Computer science,Head movements,Utterance,Speech recognition,Speaker recognition,Speaker diarisation
Conference
1520-6149
Citations 
PageRank 
References 
2
0.36
11
Authors
3
Name
Order
Citations
PageRank
Ryo Ishii115516.59
Shiro Kumano214916.82
Kazuhiro Otsuka361954.15