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Article: Automatic Assessment of Pathological Voice Quality Using Multidimensional Acoustic Analysis Based on the GRBAS Scale

TitleAutomatic Assessment of Pathological Voice Quality Using Multidimensional Acoustic Analysis Based on the GRBAS Scale
Authors
Wang, ZYu, PYan, NWang, LNg, ML
KeywordsAcoustic analysis
Automatic assessment
Extreme learning machine
GRBAS
SVM
Voice quality
Issue Date2016
Citation
Journal of Signal Processing Systems, 2016, v. 82, p. 241-251 How to Cite?
DOI: http://dx.doi.org/10.1007/s11265-015-1016-2
Persistent Identifierhttp://hdl.handle.net/10722/214561
ISSN
1939-8018
2023 Impact Factor: 1.6
2023 SCImago Journal Rankings: 0.479
ISI Accession Number ID
WOS:000371299700011

 

DC FieldValueLanguage
dc.contributor.authorWang, Z-
dc.contributor.authorYu, P-
dc.contributor.authorYan, N-
dc.contributor.authorWang, L-
dc.contributor.authorNg, ML-
dc.date.accessioned2015-08-21T11:37:59Z-
dc.date.available2015-08-21T11:37:59Z-
dc.date.issued2016-
dc.identifier.citationJournal of Signal Processing Systems, 2016, v. 82, p. 241-251-
dc.identifier.issn1939-8018-
dc.identifier.urihttp://hdl.handle.net/10722/214561-
dc.languageeng-
dc.relation.ispartofJournal of Signal Processing Systems-
dc.subjectAcoustic analysis-
dc.subjectAutomatic assessment-
dc.subjectExtreme learning machine-
dc.subjectGRBAS-
dc.subjectSVM-
dc.subjectVoice quality-
dc.titleAutomatic Assessment of Pathological Voice Quality Using Multidimensional Acoustic Analysis Based on the GRBAS Scale-
dc.typeArticle-
dc.identifier.emailNg, ML: manwa@hkucc.hku.hk-
dc.identifier.authorityNg, ML=rp00942-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11265-015-1016-2-
dc.identifier.scopuseid_2-s2.0-84955341028-
dc.identifier.hkuros249387-
dc.identifier.volume82-
dc.identifier.spage241-
dc.identifier.epage251-
dc.identifier.eissn1939-8115-
dc.identifier.isiWOS:000371299700011-
dc.identifier.issnl1939-8115-

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