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A Hybrid Machine-Learning-Based Method for Analytic Representation of the Vocal Fold Edges during Connected Speech

dc.contributor.authorOrlikoff, Robert F.
dc.contributor.authorYousef, Ahmed M.
dc.contributor.authorZacharias, Stephanie R. C.
dc.contributor.authorde Alarcon
dc.contributor.authorde Alarcon, Alessandro
dc.contributor.authorNaghibolhosseini, Maryam
dc.date.accessioned2022-09-26T15:40:13Z
dc.date.available2022-09-26T15:40:13Z
dc.date.issued2021-01-27
dc.identifier.doi10.3390/app11031179
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10342/11318
dc.language.isoen_USen_US
dc.subjecthigh-speed videoendoscopyen_US
dc.subjectconnected speechen_US
dc.subjectautomated machine-learning-based edge detectionen_US
dc.titleA Hybrid Machine-Learning-Based Method for Analytic Representation of the Vocal Fold Edges during Connected Speechen_US
dc.typeArticleen_US
ecu.journal.issue3en_US
ecu.journal.nameApplied Sciencesen_US
ecu.journal.pages1-15en_US
ecu.journal.volume11en_US

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