Future Access Enablers for Ubiquitous and Intelligent Infrastructures. Third International Conference, FABULOUS 2017, Bucharest, Romania, October 12-14, 2017, Proceedings

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
Elena-Diana Șandru1,*, Andi Buzo1,*, Horia Cucu1,*, Corneliu Burileanu1,*
  • 1: University Politehnica of Bucharest
*Contact email: diana.sandru@upb.ro, andi.buzo@upb.ro, horia.cucu@upb.ro, corneliu.burileanu@upb.ro

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.