Implementation of a noise reduction algorithm in a hearing aid device based on a dsPIC

Autores
Uriz, Alejandro José; Agüero, Pablo Daniel; Castiñeira Moreira, Jorge; Tulli, Juan Carlos; González, Esteban Lucio
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Nowadays there are many people affected by hearing impairments. The cost of assistive listening devices leaves out of reach for many people a technological solution. In the search of an economical alternative, low-cost DSPs arises as a good choice. However, it could be difficult to decide which has the best cost-effectiveness trade off among all devices offered in the market. The main goal of this work, then, is to determine the memory requirements of three noise reduction methods. It is done in order to select the algorithm that uses fewer resources, which will be implemented on a hearing aid device based on a low-cost DSP. This assistive listening device through digital signal processing techniques can get the basic features of a high-end assistive listening device. Objective experiments are performed to analyze the performance of the implemented system.
Fil: Uriz, Alejandro José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Comunicaciones; Argentina
Fil: Agüero, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Castiñeira Moreira, Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Comunicaciones; Argentina
Fil: Tulli, Juan Carlos. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Comunicaciones; Argentina
Fil: González, Esteban Lucio. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Comunicaciones; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
CROSSCORRELATION DOA
HEARING AID DEVICE
SIGNAL PROCESSING
SNR IMPROVEMENT
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/100516
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Implementation of a noise reduction algorithm in a hearing aid device based on a dsPICUriz, Alejandro JoséAgüero, Pablo DanielCastiñeira Moreira, JorgeTulli, Juan CarlosGonzález, Esteban LucioCROSSCORRELATION DOAHEARING AID DEVICESIGNAL PROCESSINGSNR IMPROVEMENThttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Nowadays there are many people affected by hearing impairments. The cost of assistive listening devices leaves out of reach for many people a technological solution. In the search of an economical alternative, low-cost DSPs arises as a good choice. However, it could be difficult to decide which has the best cost-effectiveness trade off among all devices offered in the market. The main goal of this work, then, is to determine the memory requirements of three noise reduction methods. It is done in order to select the algorithm that uses fewer resources, which will be implemented on a hearing aid device based on a low-cost DSP. This assistive listening device through digital signal processing techniques can get the basic features of a high-end assistive listening device. Objective experiments are performed to analyze the performance of the implemented system.Fil: Uriz, Alejandro José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Comunicaciones; ArgentinaFil: Agüero, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Castiñeira Moreira, Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Comunicaciones; ArgentinaFil: Tulli, Juan Carlos. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Comunicaciones; ArgentinaFil: González, Esteban Lucio. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Comunicaciones; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaInstitute of Electrical and Electronics Engineers2013-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/100516Uriz, Alejandro José; Agüero, Pablo Daniel; Castiñeira Moreira, Jorge; Tulli, Juan Carlos; González, Esteban Lucio; Implementation of a noise reduction algorithm in a hearing aid device based on a dsPIC; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 2-2013; 224-2291548-0992CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/6502807info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2013.6502807info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:35:31Zoai:ri.conicet.gov.ar:11336/100516instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:35:31.471CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Implementation of a noise reduction algorithm in a hearing aid device based on a dsPIC
title Implementation of a noise reduction algorithm in a hearing aid device based on a dsPIC
spellingShingle Implementation of a noise reduction algorithm in a hearing aid device based on a dsPIC
Uriz, Alejandro José
CROSSCORRELATION DOA
HEARING AID DEVICE
SIGNAL PROCESSING
SNR IMPROVEMENT
title_short Implementation of a noise reduction algorithm in a hearing aid device based on a dsPIC
title_full Implementation of a noise reduction algorithm in a hearing aid device based on a dsPIC
title_fullStr Implementation of a noise reduction algorithm in a hearing aid device based on a dsPIC
title_full_unstemmed Implementation of a noise reduction algorithm in a hearing aid device based on a dsPIC
title_sort Implementation of a noise reduction algorithm in a hearing aid device based on a dsPIC
dc.creator.none.fl_str_mv Uriz, Alejandro José
Agüero, Pablo Daniel
Castiñeira Moreira, Jorge
Tulli, Juan Carlos
González, Esteban Lucio
author Uriz, Alejandro José
author_facet Uriz, Alejandro José
Agüero, Pablo Daniel
Castiñeira Moreira, Jorge
Tulli, Juan Carlos
González, Esteban Lucio
author_role author
author2 Agüero, Pablo Daniel
Castiñeira Moreira, Jorge
Tulli, Juan Carlos
González, Esteban Lucio
author2_role author
author
author
author
dc.subject.none.fl_str_mv CROSSCORRELATION DOA
HEARING AID DEVICE
SIGNAL PROCESSING
SNR IMPROVEMENT
topic CROSSCORRELATION DOA
HEARING AID DEVICE
SIGNAL PROCESSING
SNR IMPROVEMENT
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Nowadays there are many people affected by hearing impairments. The cost of assistive listening devices leaves out of reach for many people a technological solution. In the search of an economical alternative, low-cost DSPs arises as a good choice. However, it could be difficult to decide which has the best cost-effectiveness trade off among all devices offered in the market. The main goal of this work, then, is to determine the memory requirements of three noise reduction methods. It is done in order to select the algorithm that uses fewer resources, which will be implemented on a hearing aid device based on a low-cost DSP. This assistive listening device through digital signal processing techniques can get the basic features of a high-end assistive listening device. Objective experiments are performed to analyze the performance of the implemented system.
Fil: Uriz, Alejandro José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Comunicaciones; Argentina
Fil: Agüero, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Castiñeira Moreira, Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Comunicaciones; Argentina
Fil: Tulli, Juan Carlos. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Comunicaciones; Argentina
Fil: González, Esteban Lucio. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Comunicaciones; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Nowadays there are many people affected by hearing impairments. The cost of assistive listening devices leaves out of reach for many people a technological solution. In the search of an economical alternative, low-cost DSPs arises as a good choice. However, it could be difficult to decide which has the best cost-effectiveness trade off among all devices offered in the market. The main goal of this work, then, is to determine the memory requirements of three noise reduction methods. It is done in order to select the algorithm that uses fewer resources, which will be implemented on a hearing aid device based on a low-cost DSP. This assistive listening device through digital signal processing techniques can get the basic features of a high-end assistive listening device. Objective experiments are performed to analyze the performance of the implemented system.
publishDate 2013
dc.date.none.fl_str_mv 2013-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/100516
Uriz, Alejandro José; Agüero, Pablo Daniel; Castiñeira Moreira, Jorge; Tulli, Juan Carlos; González, Esteban Lucio; Implementation of a noise reduction algorithm in a hearing aid device based on a dsPIC; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 2-2013; 224-229
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/100516
identifier_str_mv Uriz, Alejandro José; Agüero, Pablo Daniel; Castiñeira Moreira, Jorge; Tulli, Juan Carlos; González, Esteban Lucio; Implementation of a noise reduction algorithm in a hearing aid device based on a dsPIC; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 2-2013; 224-229
1548-0992
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/6502807
info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2013.6502807
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846082815187222528
score 13.22299

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