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Statistical model-based voice activity detection using support vector machine
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jo, Q.-H. | - |
dc.contributor.author | Chang, J.-H. | - |
dc.contributor.author | Shin, J.W. | - |
dc.contributor.author | Kim, N.S. | - |
dc.date.accessioned | 2024-05-13T00:00:32Z | - |
dc.date.available | 2024-05-13T00:00:32Z | - |
dc.date.created | 2023-11-21 | - |
dc.date.created | 2023-11-21 | - |
dc.date.issued | 2009-05 | - |
dc.identifier.citation | IET Signal Processing, Vol.3 No.3, pp.205-210 | - |
dc.identifier.issn | 1751-9675 | - |
dc.identifier.uri | https://hdl.handle.net/10371/201480 | - |
dc.description.abstract | From an investigation of a statistical model-based voice activity detection (VAD), it is discovered that a simple heuristic way like a geometric mean has been adopted for a decision rule based on the likelihood ratio (LR) test. For a successful VAD operation, the authors first review the behaviour mechanism of support vector machine (SVM) and then propose a novel technique, which employs the decision function of SVM using the LRs, while the conventional techniques perform VAD comparing the geometric mean of the LRs with a given threshold value. The proposed SVM-based VAD is compared to the conventional statistical model-based scheme, and shows better performances in various noise environments. © 2009 The Institution of Engineering and Technology. | - |
dc.language | 영어 | - |
dc.publisher | Institution of Engineering and Technology | - |
dc.title | Statistical model-based voice activity detection using support vector machine | - |
dc.type | Article | - |
dc.identifier.doi | 10.1049/iet-spr.2008.0128 | - |
dc.citation.journaltitle | IET Signal Processing | - |
dc.identifier.wosid | 000266438600004 | - |
dc.identifier.scopusid | 2-s2.0-65549106422 | - |
dc.citation.endpage | 210 | - |
dc.citation.number | 3 | - |
dc.citation.startpage | 205 | - |
dc.citation.volume | 3 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Kim, N.S. | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
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