1. Suranaree University of Technology
  2. Institutes
  3. Institute of Engineering
  4. School of Telecommunications Engineering
  5. วิทยานิพนธ์ (Thesis)
Please use this identifier to cite or link to this item: http://sutir.sut.ac.th:8080/jspui/handle/123456789/10036
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorPeerapong Uthansakulen_US
dc.contributor.authorWongsathon Pathonsuwanen_US
dc.date.accessioned2024-07-17T11:30:52Z
dc.date.available2024-07-17T11:30:52Z
dc.date.issued2023
dc.identifier.urihttp://sutir.sut.ac.th:8080/jspui/handle/123456789/10036
dc.language.isoenen_US
dc.publisherSchool of Telecommunication Engineering Institute of Engineering, Suranaree University of Technologyen_US
dc.subjectPathological voice detectionen_US
dc.subjectHybrid modelen_US
dc.subjectNeural networken_US
dc.titlePathological voice detection based on multi-scale convolutional neural networken_US
dc.title.alternativeการแยกแยะเสียงพยาธิวิทยาบนพื้นฐานโครงข่ายประสาทคอนโวลูชันแบบหลายมาตราส่วนen_US
dc.typeThesisen_US
dc.degree.nameDoctor of Philosophy
dc.degree.levelDoctoral Degree
dc.degree.disciplineTelecommunication and Computer Engineering
dc.degree.grantorSuranaree University of Technology
Appears in Collections:วิทยานิพนธ์ (Thesis)

Files in This Item:
File Description SizeFormat 
Abstract.pdfAbstract926.58 kBAdobe PDFView/Open
Fulltext.pdfFulltext11.31 MBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.