Abstract
Studies have shown that newborns are crying differently depending on their need. Medical experts state that the need behind a newborn cry can be identified by listening to the cry – an easy task for specialists but extremely hard for unskilled parents, who want to act as fast as possible to comfort their baby. In this paper, we propose various experiments on a previously developed fully automatic system that attempts to discriminate between different types of cries, based on Gaussian Mixture Models. The experiments show promising results despite the difficulty of the task.
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Notes
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SPLANN research project: http://www.softwinresearch.ro/index.php/en/research-projects/splann.
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Acknowledgement
This work was supported in part by the PN II Programme “Partnerships in priority areas” of MEN - UEFISCDI, through project no. 25/2014.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Șandru, ED., Buzo, A., Cucu, H., Burileanu, C. (2018). Recent Experiments and Findings in Baby Cry Classification. In: Fratu, O., Militaru, N., Halunga, S. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-92213-3_37
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DOI: https://doi.org/10.1007/978-3-319-92213-3_37
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