Identificación de grupos normofónicos y disfónicos en mapas autoorganizados

Bertha A.Naranjo Sanchez; Francisco Diaz Perez; Alfonsa Garcia Lopez

doi:10.1109/ICI2ST.2019.00031

Identificación de grupos normofónicos y disfónicos en mapas autoorganizados

Bertha A.Naranjo Sanchez, Francisco Diaz Perez, Alfonsa Garcia Lopez

Tecnologías de Información y Comunicación Asociadas A la Discapacidad (TICAD)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

The voice is a sound that contains characteristics which allow diagnosing various diseases. Studying the disorders that are generated in it is of particular interest in the scientific world. Identify the contributions of voice and automatic strategies in the grouping of people normophonic o dysphonic state of voice es also. This article analyzes the UPM-CTB database of the Center for Biometric Technology of the Polytechnic University of Madrid with 72 characteristics, in which 200 voice samples from 50 patients, male and female gender, both normophonic and dysphonic. As a result it was obtained that it is possible to separate with only two characteristics, patients in normphonic or disphonic groups by gender, using self-organized maps, an unsupervised artificial intelligence technique.

Título traducido de la contribución	Identification of normophonic and dysphonic groups in self-organized maps
Idioma original	Español
Título de la publicación alojada	Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019
Editores	Maria Hallo, Marco Molina, Leonardo Valdivieso
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	168-173
Número de páginas	6
ISBN (versión digital)	9781728148861
DOI	https://doi.org/10.1109/ICI2ST.2019.00031
Estado	Publicada - nov. 2019
Evento	1st International Conference on Information Systems and Software Technologies, ICI2ST 2019 - Quito, Ecuador Duración: 13 nov. 2019 → 15 nov. 2019

Serie de la publicación

Nombre	Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019

Conferencia

Conferencia	1st International Conference on Information Systems and Software Technologies, ICI2ST 2019
País/Territorio	Ecuador
Ciudad	Quito
Período	13/11/19 → 15/11/19

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

Palabras clave

Dysphonic
Normophonic
Self organized maps
Unsupervised learning
Voice

Acceder al documento

10.1109/ICI2ST.2019.00031

Otros archivos y enlaces

http://www.scopus.com/inward/record.url?scp=85078104223&partnerID=8YFLogxK

Citar esto

Sanchez, B. A. N., Perez, F. D., & Lopez, A. G. (2019). Identificación de grupos normofónicos y disfónicos en mapas autoorganizados. En M. Hallo, M. Molina, & L. Valdivieso (Eds.), Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019 (pp. 168-173). Artículo 8940373 (Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICI2ST.2019.00031

Sanchez, Bertha A.Naranjo ; Perez, Francisco Diaz ; Lopez, Alfonsa Garcia. / Identificación de grupos normofónicos y disfónicos en mapas autoorganizados. Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019. editor / Maria Hallo ; Marco Molina ; Leonardo Valdivieso. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 168-173 (Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019).

@inproceedings{7f99068dfd9f45e082d40e418bde1b10,

title = "Identificaci{\'o}n de grupos normof{\'o}nicos y disf{\'o}nicos en mapas autoorganizados",

abstract = "The voice is a sound that contains characteristics which allow diagnosing various diseases. Studying the disorders that are generated in it is of particular interest in the scientific world. Identify the contributions of voice and automatic strategies in the grouping of people normophonic o dysphonic state of voice es also. This article analyzes the UPM-CTB database of the Center for Biometric Technology of the Polytechnic University of Madrid with 72 characteristics, in which 200 voice samples from 50 patients, male and female gender, both normophonic and dysphonic. As a result it was obtained that it is possible to separate with only two characteristics, patients in normphonic or disphonic groups by gender, using self-organized maps, an unsupervised artificial intelligence technique.",

keywords = "Dysphonic, Normophonic, Self organized maps, Unsupervised learning, Voice",

author = "Sanchez, {Bertha A.Naranjo} and Perez, {Francisco Diaz} and Lopez, {Alfonsa Garcia}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 1st International Conference on Information Systems and Software Technologies, ICI2ST 2019 ; Conference date: 13-11-2019 Through 15-11-2019",

year = "2019",

month = nov,

doi = "10.1109/ICI2ST.2019.00031",

language = "Espa{\~n}ol",

series = "Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "168--173",

editor = "Maria Hallo and Marco Molina and Leonardo Valdivieso",

booktitle = "Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019",

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Sanchez, BAN, Perez, FD & Lopez, AG 2019, Identificación de grupos normofónicos y disfónicos en mapas autoorganizados. En M Hallo, M Molina & L Valdivieso (eds.), Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019., 8940373, Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019, Institute of Electrical and Electronics Engineers Inc., pp. 168-173, 1st International Conference on Information Systems and Software Technologies, ICI2ST 2019, Quito, Ecuador, 13/11/19. https://doi.org/10.1109/ICI2ST.2019.00031

Identificación de grupos normofónicos y disfónicos en mapas autoorganizados. / Sanchez, Bertha A.Naranjo; Perez, Francisco Diaz; Lopez, Alfonsa Garcia.
Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019. ed. / Maria Hallo; Marco Molina; Leonardo Valdivieso. Institute of Electrical and Electronics Engineers Inc., 2019. p. 168-173 8940373 (Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Identificación de grupos normofónicos y disfónicos en mapas autoorganizados

AU - Sanchez, Bertha A.Naranjo

AU - Perez, Francisco Diaz

AU - Lopez, Alfonsa Garcia

PY - 2019/11

Y1 - 2019/11

N2 - The voice is a sound that contains characteristics which allow diagnosing various diseases. Studying the disorders that are generated in it is of particular interest in the scientific world. Identify the contributions of voice and automatic strategies in the grouping of people normophonic o dysphonic state of voice es also. This article analyzes the UPM-CTB database of the Center for Biometric Technology of the Polytechnic University of Madrid with 72 characteristics, in which 200 voice samples from 50 patients, male and female gender, both normophonic and dysphonic. As a result it was obtained that it is possible to separate with only two characteristics, patients in normphonic or disphonic groups by gender, using self-organized maps, an unsupervised artificial intelligence technique.

AB - The voice is a sound that contains characteristics which allow diagnosing various diseases. Studying the disorders that are generated in it is of particular interest in the scientific world. Identify the contributions of voice and automatic strategies in the grouping of people normophonic o dysphonic state of voice es also. This article analyzes the UPM-CTB database of the Center for Biometric Technology of the Polytechnic University of Madrid with 72 characteristics, in which 200 voice samples from 50 patients, male and female gender, both normophonic and dysphonic. As a result it was obtained that it is possible to separate with only two characteristics, patients in normphonic or disphonic groups by gender, using self-organized maps, an unsupervised artificial intelligence technique.

KW - Dysphonic

KW - Normophonic

KW - Self organized maps

KW - Unsupervised learning

KW - Voice

UR - http://www.scopus.com/inward/record.url?scp=85078104223&partnerID=8YFLogxK

U2 - 10.1109/ICI2ST.2019.00031

DO - 10.1109/ICI2ST.2019.00031

M3 - Contribución de conferencia

AN - SCOPUS:85078104223

T3 - Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019

SP - 168

EP - 173

BT - Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019

A2 - Hallo, Maria

A2 - Molina, Marco

A2 - Valdivieso, Leonardo

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1st International Conference on Information Systems and Software Technologies, ICI2ST 2019

Y2 - 13 November 2019 through 15 November 2019

ER -

Sanchez BAN, Perez FD, Lopez AG. Identificación de grupos normofónicos y disfónicos en mapas autoorganizados. En Hallo M, Molina M, Valdivieso L, editores, Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 168-173. 8940373. (Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019). doi: 10.1109/ICI2ST.2019.00031

Identificación de grupos normofónicos y disfónicos en mapas autoorganizados

Resumen

Serie de la publicación

Conferencia

Nota bibliográfica

Palabras clave

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto