Research Article
Recent Experiments and Findings in Baby Cry Classification
472 downloads
@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.
Copyright © 2017–2024 EAI
