Research Article
Recent Experiments and Findings in Baby Cry Classification
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@INPROCEEDINGS{10.1007/978-3-319-92213-3_37, author={Elena-Diana Șandru and Andi Buzo and Horia Cucu and Corneliu Burileanu}, title={Recent Experiments and Findings in Baby Cry Classification}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. Third International Conference, FABULOUS 2017, Bucharest, Romania, October 12-14, 2017, Proceedings}, proceedings_a={FABULOUS}, year={2018}, month={7}, keywords={Baby cry Automatic newborn cry recognition GMM-UBM K-Fold cross validation}, doi={10.1007/978-3-319-92213-3_37} }- Elena-Diana Șandru
Andi Buzo
Horia Cucu
Corneliu Burileanu
Year: 2018
Recent Experiments and Findings in Baby Cry Classification
FABULOUS
Springer
DOI: 10.1007/978-3-319-92213-3_37
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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