Abstract
The paper presents the results of boys’ age modeling on the basis of the features of their voice. The research group has been divided according to age and the threshold has been 14 years. 98 boys have been examined (57 aged less than 14 years, 41 aged 14 years or more). Voice data has been acquired and processed. The obtained coefficients have been subjected to Principal Component Analysis and then linear models have been built, estimeting the boys’ age. The obtained results are promising and are especially good in case of the group of younger boys, where the median absolute error has been less than 6 months and the median relative error has been equal to 2.1%.
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We would like to thank Andre Woloshuk for his English language corrections.
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Bugdol, M.N., Mitas, A.W., Lipowicz, A.M., Bugdol, M.D., Bieńkowska, M.J. (2019). Boys’ Age Modeling Using Voice Features. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2018. Advances in Intelligent Systems and Computing, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-91211-0_22
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DOI: https://doi.org/10.1007/978-3-319-91211-0_22
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