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Observing Uncertainty in Music Tagging by Automatic Gaze Tracking

In this paper, a new approach to observe music file tagging process by employing a gaze tracking system is proposed. The study was conducted with the participation of twenty subjects having different musical experience. For the purpose of the experiments a website survey based on a musical database was prepared. It allowed to gather information about music experience of subjects along with music characteristics such as genre, tempo, dynamics, etc. The results obtained from the preliminary tests show that it is also possible to use a gaze tracking system to automatically tag music characteristics, however this process should be optimized. Conclusions are derived with respect to the outcomes of the experiments. Future directions aimed at optimization the experimental set-up are also discussed.

Author: Kostek, Bozena
Affiliation: Gdansk University of Technology, Gdansk, Poland
AES Conference:42nd International Conference: Semantic Audio (July 2011)
Paper Number:P1-7 Import into BibTeX

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