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Authors: Felipe Teixeira 1 and João Teixeira 2

Affiliations: 1 Instituto Politécnico de Bragança (IPB), Bragança 5300, Portugal ; 2 Instituto Politécnico de Bragança (IPB), Bragança 5300, Portugal, Research Centre in Digitalization and Intelligent Robotics (CEDRI), Applied Management Research Unit (UNIAG), Bragança 5300, Portugal

ISBN: 978-989-758-398-8

ISSN: 2184-4305

Keyword(s): Vocal Acoustic Analysis, Leave-one-out, Deep Neural Network, Architecture of Deep-NN, Dysphonia, Vocal Fold Paralysis, Laryngitis Chronica.

Abstract: The work consists in a classification problem of four classes of vocal pathologies using one Deep Neural Network. Three groups of features extracted from speech of subjects with Dysphonia, Vocal Fold Paralysis, Laryngitis Chronica and controls were experimented. The best group of features are related with the source: relative jitter, relative shimmer, and HNR. A Deep Neural Network architecture with two levels were experimented. The first level consists in 7 estimators and second level a decision maker. In second level of the Deep Neural Network an accuracy of 39,5% is reached for a diagnosis among the 4 classes under analysis.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Teixeira, F. and Teixeira, J. (2020). Deep-learning in Identification of Vocal Pathologies. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS, ISBN 978-989-758-398-8; ISSN 2184-4305, pages 288-295. DOI: 10.5220/0009148802880295

@conference{biosignals20,
author={Felipe Teixeira. and João Teixeira.},
title={Deep-learning in Identification of Vocal Pathologies},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS,},
year={2020},
pages={288-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009148802880295},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS,
TI - Deep-learning in Identification of Vocal Pathologies
SN - 978-989-758-398-8
IS - 2184-4305
AU - Teixeira, F.
AU - Teixeira, J.
PY - 2020
SP - 288
EP - 295
DO - 10.5220/0009148802880295

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