Repository logo
 
Publication

Voice pathologies : the most comum features and classification tools

dc.contributor.authorFernandes, Joana Filipa Pinto
dc.contributor.authorFreitas, Diamantino Silva
dc.contributor.authorTeixeira, João Paulo
dc.date.accessioned2022-11-22T11:19:18Z
dc.date.available2022-11-22T11:19:18Z
dc.date.issued2021
dc.description.abstractSpeech pathologies are quite common in society, however the exams that exist are invasive, making them uncomfortable for patients and depending on the experience of the clinician who performs the assessment. Hence the need to develop non-invasive methods, which allow objective and efficient analysis. Taking this need into account in this work, the most promising list of features and classifiers was identified. As features, jitter, shimmer, HNR, LPC, PLP, and MFCC were identified and as classifiers CNN, RNN and LSTM. This study intends to develop a device to support medical decision, however this article already presents the system interface.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFernandes, Joana Filipa; Freitas, Diamantino; Teixeira, João Paulo (2021). Voice pathologies : the most comum features and classification tools. In 16th Iberian Conference on Information Systems and Technologies, CISTI 2021. p. 1-6pt_PT
dc.identifier.doi10.23919/CISTI52073.2021.9476466pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/26133
dc.language.isoengpt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVoice pathologiespt_PT
dc.subjectAcoustic parameterspt_PT
dc.subjectSpeech signapt_PT
dc.subjectNeural networkspt_PT
dc.titleVoice pathologies : the most comum features and classification toolspt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceChavespt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title16th Iberian Conference on Information Systems and Technologies, CISTI 2021pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameTeixeira
person.givenNameJoão Paulo
person.identifier663194
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.orcid0000-0002-6679-5702
person.identifier.ridN-6576-2013
person.identifier.scopus-author-id57069567500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isAuthorOfPublication.latestForDiscovery33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublication.latestForDiscovery6e01ddc8-6a82-4131-bca6-84789fa234bd

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
CISTI_SpeechPhatologies_submited.pdf
Size:
276.27 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: