A soft decision-based speech enhancement using acoustic noise classification
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, J.-H. | - |
dc.contributor.author | Kim, S.-K. | - |
dc.contributor.author | Chang, J.-H. | - |
dc.date.accessioned | 2021-08-02T19:50:58Z | - |
dc.date.available | 2021-08-02T19:50:58Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2011-08 | - |
dc.identifier.issn | 1990-9772 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/28083 | - |
dc.description.abstract | In this letter, we present a speech enhancement technique based on the ambient noise classification incorporating the Gaussian mixture model (GMM). The principal parameters of the statistical model-based speech enhancement algorithm such as the weighting parameter in the decision-directed (DD) method and the long-term smoothing parameter of the noise estimation, are chosen as different values according to the classified contexts to ensure best performance for each noise. For the real-time environment awareness, the noise classification is performed on a frame-by-frame basis using the GMM with the soft decision framework. The speech absence probability (SAP) is used in detecting the speech absence periods and updating the likelihood of the GMM. Copyright ? 2011 ISCA. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.title | A soft decision-based speech enhancement using acoustic noise classification | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chang, J.-H. | - |
dc.identifier.scopusid | 2-s2.0-84865726811 | - |
dc.identifier.bibliographicCitation | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp.1193 - 1196 | - |
dc.relation.isPartOf | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH | - |
dc.citation.title | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH | - |
dc.citation.startPage | 1193 | - |
dc.citation.endPage | 1196 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Ambient noise | - |
dc.subject.keywordPlus | Decision-directed | - |
dc.subject.keywordPlus | Enhancement techniques | - |
dc.subject.keywordPlus | Frame-by-frame basis | - |
dc.subject.keywordPlus | Gaussian Mixture Model | - |
dc.subject.keywordPlus | Noise classification | - |
dc.subject.keywordPlus | Noise estimation | - |
dc.subject.keywordPlus | Real-time environment | - |
dc.subject.keywordPlus | Smoothing parameter | - |
dc.subject.keywordPlus | Soft decision | - |
dc.subject.keywordPlus | Speech enhancement algorithm | - |
dc.subject.keywordPlus | Acoustic noise | - |
dc.subject.keywordPlus | Speech enhancement | - |
dc.subject.keywordAuthor | Gaussian mixture model | - |
dc.subject.keywordAuthor | Noise classification | - |
dc.subject.keywordAuthor | Soft decision | - |
dc.subject.keywordAuthor | Speech enhancement | - |
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