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Authors: Laura Verde ; Giuseppe De Pietro and Giovanna Sannino

Affiliation: Institute of High Performance Computing and Networking (ICAR) - CNR, Italy

Keyword(s): Dysphonia, Children Voice Disorders, m-health Application, Fundamental Frequency Estimation.

Abstract: Voice disorders, also called dysphonia, are qualitative and quantitative alterations of the voice. These pathologies, unfortunately, affect from 6% to 38% of children in the world. Voice disorders may have a negative impact on communication effectiveness, social development and self-esteem. The first weapon against the diffusion and the worsening of these pathologies is prevention. Acoustic analysis is one of the most important tools to appraise the state of health of a voice. It provides information about the possible presence of voice disorders by evaluating specific parameters like the Fundamental Frequency. In this paper we present an easy approach based on a mobile application for voice screening in children. The app provides a robust methodology for the fundamental frequency estimation of the voice signal by analysing in real time a child’s signal. It consists of a continuous vocalization of the vowel /a/ of five seconds in length. The methodology is also able to evaluate undes ired noise that can alter the Fundamental Frequency estimation and the correct classification of the evaluated voice signal as pathological or healthy. (More)

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Paper citation in several formats:
Verde, L.; De Pietro, G. and Sannino, G. (2016). An Easy Approach for the Classification of Children’s Voices based on the Fundamental Frequency Estimation. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - SmartMedDev; ISBN 978-989-758-170-0; ISSN 2184-4305, SciTePress, pages 570-577. DOI: 10.5220/0005849005700577

@conference{smartmeddev16,
author={Laura Verde. and Giuseppe {De Pietro}. and Giovanna Sannino.},
title={An Easy Approach for the Classification of Children’s Voices based on the Fundamental Frequency Estimation},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - SmartMedDev},
year={2016},
pages={570-577},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005849005700577},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - SmartMedDev
TI - An Easy Approach for the Classification of Children’s Voices based on the Fundamental Frequency Estimation
SN - 978-989-758-170-0
IS - 2184-4305
AU - Verde, L.
AU - De Pietro, G.
AU - Sannino, G.
PY - 2016
SP - 570
EP - 577
DO - 10.5220/0005849005700577
PB - SciTePress

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