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dc.contributor.authorNahma, L.
dc.contributor.authorYong, P.
dc.contributor.authorDam, Hai Huyen Heidi
dc.contributor.authorNordholm, Sven
dc.date.accessioned2017-08-24T02:20:59Z
dc.date.available2017-08-24T02:20:59Z
dc.date.created2017-08-23T07:21:41Z
dc.date.issued2017
dc.identifier.citationNahma, L. and Yong, P. and Dam, H.H.H. and Nordholm, S. 2017. Convex combination framework for a priori SNR estimation in speech enhancement, pp. 4975-4979.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/55889
dc.identifier.doi10.1109/ICASSP.2017.7953103
dc.description.abstract

© 2017 IEEE. The paper proposes a convex combination fusion function based on a sigmoid function for the estimation of the a priori SNR in a speech enhancement framework with critical frequency band processing. The proposed method does not only eliminate the one frame delay generated by the well-known decision directed approach but also increases the adaptation speed during abrupt changes in the SNR estimation. As a result, the advantage of low musical noise has been maintained while more weak speech components have been preserved. Experimental results using instrumental and subjective measures also indicate improvement in speech quality compared to the reference methods.

dc.titleConvex combination framework for a priori SNR estimation in speech enhancement
dc.typeConference Paper
dcterms.source.startPage4975
dcterms.source.endPage4979
dcterms.source.titleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dcterms.source.seriesICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dcterms.source.isbn9781509041176
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


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