Machine learning for Parkinson's disease detection: analyzing hybrid voice data with spectral, topological, and random matrix methods

Detalles Bibliográficos
Autores: Dominguez Monterroza, Andy|||0000-0002-5274-7443, Mateos Caballero, Alfonso|||0000-0003-4764-6047, Jiménez Martín, Antonio|||0000-0002-4947-8430
Tipo de recurso: artículo
Fecha de publicación:2026
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:94363
Acceso en línea:https://oa.upm.es/94363/
Access Level:acceso abierto
Palabra clave:Accuracy
Acoustics
Classification
Diseases
Feature extraction
Machine learning
Noise
Parkinson's disease
Random matrix theory
Spectral features
Speech
Speech analysis
Speech synthesis
Synthetic data
Topological data analysis
Training
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network_name_str España
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spelling Machine learning for Parkinson's disease detection: analyzing hybrid voice data with spectral, topological, and random matrix methodsDominguez Monterroza, Andy|||0000-0002-5274-7443Mateos Caballero, Alfonso|||0000-0003-4764-6047Jiménez Martín, Antonio|||0000-0002-4947-8430AccuracyAcousticsClassificationDiseasesFeature extractionMachine learningNoiseParkinson's diseaseRandom matrix theorySpectral featuresSpeechSpeech analysisSpeech synthesisSynthetic dataTopological data analysisTraining20262026-01-23journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/94363/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:943632026-06-21T12:45:07Z
dc.title.none.fl_str_mv Machine learning for Parkinson's disease detection: analyzing hybrid voice data with spectral, topological, and random matrix methods
title Machine learning for Parkinson's disease detection: analyzing hybrid voice data with spectral, topological, and random matrix methods
spellingShingle Machine learning for Parkinson's disease detection: analyzing hybrid voice data with spectral, topological, and random matrix methods
Dominguez Monterroza, Andy|||0000-0002-5274-7443
Accuracy
Acoustics
Classification
Diseases
Feature extraction
Machine learning
Noise
Parkinson's disease
Random matrix theory
Spectral features
Speech
Speech analysis
Speech synthesis
Synthetic data
Topological data analysis
Training
title_short Machine learning for Parkinson's disease detection: analyzing hybrid voice data with spectral, topological, and random matrix methods
title_full Machine learning for Parkinson's disease detection: analyzing hybrid voice data with spectral, topological, and random matrix methods
title_fullStr Machine learning for Parkinson's disease detection: analyzing hybrid voice data with spectral, topological, and random matrix methods
title_full_unstemmed Machine learning for Parkinson's disease detection: analyzing hybrid voice data with spectral, topological, and random matrix methods
title_sort Machine learning for Parkinson's disease detection: analyzing hybrid voice data with spectral, topological, and random matrix methods
dc.creator.none.fl_str_mv Dominguez Monterroza, Andy|||0000-0002-5274-7443
Mateos Caballero, Alfonso|||0000-0003-4764-6047
Jiménez Martín, Antonio|||0000-0002-4947-8430
author Dominguez Monterroza, Andy|||0000-0002-5274-7443
author_facet Dominguez Monterroza, Andy|||0000-0002-5274-7443
Mateos Caballero, Alfonso|||0000-0003-4764-6047
Jiménez Martín, Antonio|||0000-0002-4947-8430
author_role author
author2 Mateos Caballero, Alfonso|||0000-0003-4764-6047
Jiménez Martín, Antonio|||0000-0002-4947-8430
author2_role author
author
dc.subject.none.fl_str_mv Accuracy
Acoustics
Classification
Diseases
Feature extraction
Machine learning
Noise
Parkinson's disease
Random matrix theory
Spectral features
Speech
Speech analysis
Speech synthesis
Synthetic data
Topological data analysis
Training
topic Accuracy
Acoustics
Classification
Diseases
Feature extraction
Machine learning
Noise
Parkinson's disease
Random matrix theory
Spectral features
Speech
Speech analysis
Speech synthesis
Synthetic data
Topological data analysis
Training
publishDate 2026
dc.date.none.fl_str_mv 2026
2026-01-23
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://oa.upm.es/94363/
url https://oa.upm.es/94363/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869421035838767104
score 15,812429

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