A Hybrid Machine-Learning-Based Method for Analytic Representation of the Vocal Fold Edges during Connected Speech
dc.contributor.author | Orlikoff, Robert F. | |
dc.contributor.author | Yousef, Ahmed M. | |
dc.contributor.author | Zacharias, Stephanie R. C. | |
dc.contributor.author | de Alarcon | |
dc.contributor.author | de Alarcon, Alessandro | |
dc.contributor.author | Naghibolhosseini, Maryam | |
dc.date.accessioned | 2022-09-26T15:40:13Z | |
dc.date.available | 2022-09-26T15:40:13Z | |
dc.date.issued | 2021-01-27 | |
dc.identifier.doi | 10.3390/app11031179 | |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | http://hdl.handle.net/10342/11318 | |
dc.language.iso | en_US | en_US |
dc.subject | high-speed videoendoscopy | en_US |
dc.subject | connected speech | en_US |
dc.subject | automated machine-learning-based edge detection | en_US |
dc.title | A Hybrid Machine-Learning-Based Method for Analytic Representation of the Vocal Fold Edges during Connected Speech | en_US |
dc.type | Article | en_US |
ecu.journal.issue | 3 | en_US |
ecu.journal.name | Applied Sciences | en_US |
ecu.journal.pages | 1-15 | en_US |
ecu.journal.volume | 11 | en_US |
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