Conference paper

HRADIŠ Michal, EIVAZI Shahram and BEDNAŘÍK Roman. Voice activity detection in video mediated communication from gaze. In: ETRA '12 Proceedings of the Symposium on Eye Tracking Research and Applications. Santa Barbara: Association for Computing Machinery, 2012, pp. 329-332. ISBN 978-1-4503-1221-9.
Publication language:english
Original title:Voice activity detection in video mediated communication from gaze
Title (cs):Detekce mluvčího z pohledu při videokonferencích
Pages:329-332
Proceedings:ETRA '12 Proceedings of the Symposium on Eye Tracking Research and Applications
Conference:Eye Tracking Research & Applications
Place:Santa Barbara, US
Year:2012
ISBN:978-1-4503-1221-9
Publisher:Association for Computing Machinery
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Keywords
gaze tracking, voice activity detection, speaker recog-nition, machine learning, Support Vector Machines
Annotation
This paper discuses prediction of active speaker in multi-party video mediated communication from gaze data. In the explored setting, we predict voice activity of participants in one room based on gaze recordings of a single participant in another room. The two rooms were connected by high definition and low delay audio and video links and the participants engaged in different activities ranging from casual discussion to simple casual games. We treat the task as classification problem. We evaluate different types of features and parameter setting in the context of Support Vector Machine classification framework. The results show that the speaker activity can be correctly predicted with the proposed approach in 90 % of the time for which the gaze data are available.
BibTeX:
@INPROCEEDINGS{
   author = {Michal Hradi{\v{s}} and Shahram Eivazi and Roman
	Bedna{\v{r}}{\'{i}}k},
   title = {Voice activity detection in video mediated communication
	from gaze},
   pages = {329--332},
   booktitle = {ETRA '12 Proceedings of the Symposium on Eye Tracking
	Research and Applications},
   year = {2012},
   location = {Santa Barbara, US},
   publisher = {Association for Computing Machinery},
   ISBN = {978-1-4503-1221-9},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9861}
}

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