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.
Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.