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dc.contributor.author장준혁-
dc.date.accessioned2018-04-15T10:11:07Z-
dc.date.available2018-04-15T10:11:07Z-
dc.date.issued2011-12-
dc.identifier.citationIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E SERIES D, 2011, 94(12), P.2537-2540en_US
dc.identifier.issn0916-8532-
dc.identifier.urihttps://www.jstage.jst.go.jp/article/transinf/E94.D/12/E94.D_12_2537/_article-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/66774-
dc.description.abstractIn this letter, we propose a novel speech enhancement algorithm based on data-driven residual gain estimation. The entire system consists of two stages. At the first stage, a conventional speech enhancement algorithm enhances the input signal while estimating several signal-to-noise ratio (SNR)-related parameters. The residual gain, which is estimated by a data-driven method, is applied to further enhance the signal at the second stage. A number of experimental results show that the proposed speech enhancement algorithm outperforms the conventional speech enhancement technique based on soft decision and the data-driven approach using SNR grid look-up table.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electronics, Information and Communication Engineersen_US
dc.subjectspeech enhancementen_US
dc.subjectnoise reductionen_US
dc.subjectdata-driven approachen_US
dc.subjectresidual gain estimationen_US
dc.titleSpeech Enhancement Based on Data-Driven Residual Gain Estimationen_US
dc.typeArticleen_US
dc.relation.no12-
dc.relation.volumeE94D-
dc.identifier.doi10.1587/transinf.E94.D.2537-
dc.relation.page2537-2540-
dc.relation.journalIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS-
dc.contributor.googleauthorJin, Y.G.-
dc.contributor.googleauthorKim, N.S.-
dc.contributor.googleauthorChang, J.-H.-
dc.relation.code2011203910-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF ELECTRONIC ENGINEERING-
dc.identifier.pidjchang-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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