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dc.contributor.authorREILLY, RICHARD
dc.date.accessioned2008-06-23T15:09:52Z
dc.date.available2008-06-23T15:09:52Z
dc.date.issued2006
dc.date.submitted2006en
dc.identifier.citationMoran, R.J. and Reilly, R.B. and de Chazal, P. and Lacy, P.D. 'Telephony-based voice pathology assessment using automated speech analysis' in IEEE Transactions on Biomedical Engineering, 53, (3), 2006, pp. 468 ? 477.en
dc.identifier.issn51847
dc.identifier.otherY
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/17619
dc.descriptionPUBLISHEDen
dc.description.abstractA system for remotely detecting vocal fold pathologies using telephone-quality speech is presented. The system uses a linear classifier, processing measurements of pitch perturbation, amplitude perturbation and harmonic-to-noise ratio derived from digitized speech recordings. Voice recordings from the Disordered Voice Database Model 4337 system were used to develop and validate the system. Results show that while a sustained phonation, recorded in a controlled environment, can be classified as normal or pathologic with accuracy of 89.1%, telephone-quality speech can be classified as normal or pathologic with an accuracy of 74.2%, using the same scheme. Amplitude perturbation features prove most robust for telephone-quality speech. The pathologic recordings were then subcategorized into four groups, comprising normal, neuromuscular pathologic, physical pathologic and mixed (neuromuscular with physical) pathologic. A separate classifier was developed for classifying the normal group from each pathologic subcategory. Results show that neuromuscular disorders could be detected remotely with an accuracy of 87%, physical abnormalities with an accuracy of 78% and mixed pathology voice with an accuracy of 61%. This study highlights the real possibility for remote detection and diagnosis of voice pathology.en
dc.description.sponsorshipThe authors would like to thank the Informatics Research Initiative of Enterprise Ireland and Voxpilot Ltd. They would also like to thank the Speech and Language Therapy Department at Tallaght Hospital, Dublin for assistance in data collection.en
dc.format.extent468en
dc.format.extent477en
dc.format.extent564600 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseries53en
dc.relation.ispartofseries3en
dc.rightsYen
dc.subjectSpeech analysisen
dc.subjectvoice pathologyen
dc.subjectvoiceXMLen
dc.titleTelephony-based voice pathology assessment using automated speech analysisen
dc.contributor.sponsorEnterprise Ireland
dc.contributor.sponsorIrish Research Council for Science Engineering and Technologyen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/reillyri
dc.identifier.rssurihttp://ieeexplore.ieee.org/iel5/10/33600/01597497.pdf?tp=&isnumber=33600&arnumber=1597497&punumber=10


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