Abstract
In this paper, we analyze data generated by the extended Mainzer Kindertisch (ERKI setup). The setup uses five loudspeakers to generate 32 virtual sound sources which are ordered in an half circle. It is a new test setup in the medical field. The task for the test candidate is to locate sounds from different, randomly chosen directions. In our analysis, we apply data from test results of adults and of children and compare them. We show that the ERKI setup is applicable for sound localization and that the generated data contain various properties which can be explained by medical reasons. Further, we demonstrate the possibility to detect noticeable test results with data generated by the ERKI setup.
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Acknowledgments
We thank the Jade University of Applied Sciences for partly supporting this work with the PhD program Jade2Pro.
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Lückehe, D., Schmidt, K., Plotz, K., von Voigt, G. (2017). Analysis of Sound Localization Data Generated by the Extended Mainzer Kindertisch . In: Kern-Isberner, G., Fürnkranz, J., Thimm, M. (eds) KI 2017: Advances in Artificial Intelligence. KI 2017. Lecture Notes in Computer Science(), vol 10505. Springer, Cham. https://doi.org/10.1007/978-3-319-67190-1_28
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DOI: https://doi.org/10.1007/978-3-319-67190-1_28
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