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Enhanced Living by Assessing Voice Pathology Using a Co-Occurrence Matrix

A large number of the population around the world suffers from various disabilities. Disabilities affect not only children but also adults of different professions. Smart technology can assist the disabled population and lead to a comfortable life in an enhanced living environment (ELE). In this pap...

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Detalles Bibliográficos
Autores principales: Muhammad, Ghulam, Alhamid, Mohammed F., Hossain, M. Shamim, Almogren, Ahmad S., Vasilakos, Athanasios V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336070/
https://www.ncbi.nlm.nih.gov/pubmed/28146069
http://dx.doi.org/10.3390/s17020267
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author Muhammad, Ghulam
Alhamid, Mohammed F.
Hossain, M. Shamim
Almogren, Ahmad S.
Vasilakos, Athanasios V.
author_facet Muhammad, Ghulam
Alhamid, Mohammed F.
Hossain, M. Shamim
Almogren, Ahmad S.
Vasilakos, Athanasios V.
author_sort Muhammad, Ghulam
collection PubMed
description A large number of the population around the world suffers from various disabilities. Disabilities affect not only children but also adults of different professions. Smart technology can assist the disabled population and lead to a comfortable life in an enhanced living environment (ELE). In this paper, we propose an effective voice pathology assessment system that works in a smart home framework. The proposed system takes input from various sensors, and processes the acquired voice signals and electroglottography (EGG) signals. Co-occurrence matrices in different directions and neighborhoods from the spectrograms of these signals were obtained. Several features such as energy, entropy, contrast, and homogeneity from these matrices were calculated and fed into a Gaussian mixture model-based classifier. Experiments were performed with a publicly available database, namely, the Saarbrucken voice database. The results demonstrate the feasibility of the proposed system in light of its high accuracy and speed. The proposed system can be extended to assess other disabilities in an ELE.
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spelling pubmed-53360702017-03-16 Enhanced Living by Assessing Voice Pathology Using a Co-Occurrence Matrix Muhammad, Ghulam Alhamid, Mohammed F. Hossain, M. Shamim Almogren, Ahmad S. Vasilakos, Athanasios V. Sensors (Basel) Article A large number of the population around the world suffers from various disabilities. Disabilities affect not only children but also adults of different professions. Smart technology can assist the disabled population and lead to a comfortable life in an enhanced living environment (ELE). In this paper, we propose an effective voice pathology assessment system that works in a smart home framework. The proposed system takes input from various sensors, and processes the acquired voice signals and electroglottography (EGG) signals. Co-occurrence matrices in different directions and neighborhoods from the spectrograms of these signals were obtained. Several features such as energy, entropy, contrast, and homogeneity from these matrices were calculated and fed into a Gaussian mixture model-based classifier. Experiments were performed with a publicly available database, namely, the Saarbrucken voice database. The results demonstrate the feasibility of the proposed system in light of its high accuracy and speed. The proposed system can be extended to assess other disabilities in an ELE. MDPI 2017-01-29 /pmc/articles/PMC5336070/ /pubmed/28146069 http://dx.doi.org/10.3390/s17020267 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Muhammad, Ghulam
Alhamid, Mohammed F.
Hossain, M. Shamim
Almogren, Ahmad S.
Vasilakos, Athanasios V.
Enhanced Living by Assessing Voice Pathology Using a Co-Occurrence Matrix
title Enhanced Living by Assessing Voice Pathology Using a Co-Occurrence Matrix
title_full Enhanced Living by Assessing Voice Pathology Using a Co-Occurrence Matrix
title_fullStr Enhanced Living by Assessing Voice Pathology Using a Co-Occurrence Matrix
title_full_unstemmed Enhanced Living by Assessing Voice Pathology Using a Co-Occurrence Matrix
title_short Enhanced Living by Assessing Voice Pathology Using a Co-Occurrence Matrix
title_sort enhanced living by assessing voice pathology using a co-occurrence matrix
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336070/
https://www.ncbi.nlm.nih.gov/pubmed/28146069
http://dx.doi.org/10.3390/s17020267
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