Deep-learning in Identification of Vocal Pathologies

Felipe L. Teixeira; João P. Teixeira; João P. Teixeira

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Paper

Deep-learning in Identification of Vocal Pathologies

Topics: Medical Signal Acquisition, Analysis and Processing; Multimodal Speech & Audio Processing; Neural Networks for Biosignal Data; Pattern Recognition & Machine Learning for Biosignal Data

In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSTEC, 288-295, 2020 , Valletta, Malta

Authors: Felipe L. Teixeira ¹ and João P. Teixeira ^{1

;

2}

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

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.

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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 (BIOSTEC 2020) - BIOSIGNALS; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 288-295. DOI: 10.5220/0009148802880295

@conference{biosignals20,
author={Felipe L. Teixeira. and João P. Teixeira.},
title={Deep-learning in Identification of Vocal Pathologies},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - 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 (BIOSTEC 2020) - 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
PB - SciTePress