loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Authors: Alessa Anjos de Oliveira 1 ; Maria Dajer 2 ; Paula Fernandes 3 and João Teixeira 4

Affiliations: 1 Polytechnic Institute of Bragança, Campus Sta. Apolónia, 5301 857 Bragança, Portugal, Federal University of Technology of Paraná, Campus Cornélio Procópio, 86300 000, Cornélio Procópio, Brazil ; 2 Federal University of Technology of Paraná, Campus Cornélio Procópio, 86300 000, Cornélio Procópio, Brazil ; 3 Polytechnic Institute of Bragança, Campus Sta. Apolónia, 5301 857 Bragança, Portugal, Applied Management Research Unit (UNIAG), Bragança 5300, Portugal ; 4 Polytechnic Institute of Bragança, Campus Sta. Apolónia, 5301 857 Bragança, Portugal, Research Centre in Digitalization and Intelligent Robotics (CEDRI), Bragança 5300, Portugal, Applied Management Research Unit (UNIAG), Bragança 5300, Portugal

ISBN: 978-989-758-398-8

ISSN: 2184-4305

Keyword(s): Voice Pathologies Clustering, Clustering with Boxplot, Voice Pathologies Analysis, Jitter Shimmer HNR and Autocorrelation Statistical Analysis.

Abstract: Signal processing techniques can be used to extract information that contribute to the detection of laryngeal disorders. The goal of this paper is to perform a statistical analysis through the boxplot tool from 832 voice signals of individuals with different laryngeal pathologies from the Saarbrücken Voice Database in order to create relevant groups, making feasible an automatic identification of these dysfunctions. Jitter, Shimmer, HNR, NHR and Autocorrelation features were compared between several groups of voice pathologies/conditions, resulting in three identified clusters.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.207.132.116

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Anjos de Oliveira, A.; Dajer, M.; Fernandes, P. and Teixeira, J. (2020). Clustering of Voice Pathologies based on Sustained Voice Parameters. 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 280-287. DOI: 10.5220/0009146202800287

@conference{biosignals20,
author={Alessa {Anjos de Oliveira}. and Maria Dajer. and Paula Fernandes. and João Teixeira.},
title={Clustering of Voice Pathologies based on Sustained Voice Parameters},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS,},
year={2020},
pages={280-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009146202800287},
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 - Clustering of Voice Pathologies based on Sustained Voice Parameters
SN - 978-989-758-398-8
IS - 2184-4305
AU - Anjos de Oliveira, A.
AU - Dajer, M.
AU - Fernandes, P.
AU - Teixeira, J.
PY - 2020
SP - 280
EP - 287
DO - 10.5220/0009146202800287

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.
0123movie.net