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Voice activity detection based on a family of parametric distributions
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, Jong Won | - |
dc.contributor.author | Chang, Joon-Hyuk | - |
dc.contributor.author | Kim, Nam Soo | - |
dc.date.accessioned | 2024-05-13T00:00:55Z | - |
dc.date.available | 2024-05-13T00:00:55Z | - |
dc.date.created | 2023-11-21 | - |
dc.date.created | 2023-11-21 | - |
dc.date.issued | 2007-08 | - |
dc.identifier.citation | Pattern Recognition Letters, Vol.28 No.11, pp.1295-1299 | - |
dc.identifier.issn | 0167-8655 | - |
dc.identifier.uri | https://hdl.handle.net/10371/201487 | - |
dc.description.abstract | In this letter, generalized gamma distribution (GΓD) is introduced as a new statistical model of spectral distribution to be applied to the likelihood ratio test performed in voice activity detection (VAD). A gradient-based on-line algorithm is proposed to estimate the parameters of GΓD according to the maximum likelihood criterion. Experimental results show that the VAD algorithm implemented based on GΓD outperformed those adopting other parametric distributions. © 2007 Elsevier B.V. All rights reserved. | - |
dc.language | 영어 | - |
dc.publisher | Elsevier BV | - |
dc.title | Voice activity detection based on a family of parametric distributions | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.patrec.2006.11.015 | - |
dc.citation.journaltitle | Pattern Recognition Letters | - |
dc.identifier.wosid | 000247807500003 | - |
dc.identifier.scopusid | 2-s2.0-34249658531 | - |
dc.citation.endpage | 1299 | - |
dc.citation.number | 11 | - |
dc.citation.startpage | 1295 | - |
dc.citation.volume | 28 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Kim, Nam Soo | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordAuthor | Generalized gamma | - |
dc.subject.keywordAuthor | Statistical modeling | - |
dc.subject.keywordAuthor | Voice activity detection | - |
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