On using spectral gradient in conditional MAP criterion for robust voice activity detection
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, J.-H. | - |
dc.contributor.author | Chang, J.-H. | - |
dc.date.accessioned | 2021-08-02T19:27:31Z | - |
dc.date.available | 2021-08-02T19:27:31Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2012-09 | - |
dc.identifier.issn | 23740272 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/27472 | - |
dc.description.abstract | In this paper, we propose a novel approach to improve a statistical model-based voice activity detection (VAD) method based on a modified conditional maximum a posteriori (MAP) criterion incorporating the spectral gradient scheme. The proposed conditional MAP incorporates not only the voice activity decision in the previous frame as in Ref. [1] but also the spectral gradient of the observed spectra between the current frame and the past frames to efficiently exploit the inter-frame correlation of voice activity. As a result, the proposed VAD leads to six separate thresholds to be adaptively determined in the likelihood ratio test (LRT) depending on both the previous VAD result and the estimated spectral gradient parameter. Experimental results demonstrate that the proposed approach yields better results compared to those of the previous conditional MAP-based method. ? 2012 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.title | On using spectral gradient in conditional MAP criterion for robust voice activity detection | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chang, J.-H. | - |
dc.identifier.doi | 10.1109/ICNIDC.2012.6418777 | - |
dc.identifier.scopusid | 2-s2.0-84874326401 | - |
dc.identifier.bibliographicCitation | Proceedings - 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2012, pp.370 - 374 | - |
dc.relation.isPartOf | Proceedings - 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2012 | - |
dc.citation.title | Proceedings - 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2012 | - |
dc.citation.startPage | 370 | - |
dc.citation.endPage | 374 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Conditional maps | - |
dc.subject.keywordPlus | Current frame | - |
dc.subject.keywordPlus | IMPROVE-A | - |
dc.subject.keywordPlus | Inter-frame | - |
dc.subject.keywordPlus | Likelihood ratio tests | - |
dc.subject.keywordPlus | MAP-based methods | - |
dc.subject.keywordPlus | Maximum a posteriori criterions | - |
dc.subject.keywordPlus | Spectral gradients | - |
dc.subject.keywordPlus | Voice activity | - |
dc.subject.keywordPlus | Voice activity detection | - |
dc.subject.keywordPlus | Speech recognition | - |
dc.subject.keywordPlus | Maximum likelihood | - |
dc.subject.keywordAuthor | Conditional MAP | - |
dc.subject.keywordAuthor | Likelihood ratio test | - |
dc.subject.keywordAuthor | Spectral gradient | - |
dc.subject.keywordAuthor | Voice activity detection | - |
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