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dc.contributor.authorYong, Pei
dc.contributor.authorNordholm, Sven
dc.contributor.authorDam, Hai Huyen Heidi
dc.contributor.editorAkihiko Sugiyama
dc.contributor.editorHitoshi Kiya
dc.date.accessioned2017-01-30T13:32:30Z
dc.date.available2017-01-30T13:32:30Z
dc.date.created2015-03-03T20:17:23Z
dc.date.issued2012
dc.identifier.citationYong, P. and Nordholm, S. and Dam, H.H.H. 2012. Trade-off evaluation for speech enhancement algorithms with respect to the a priori SNR estimation acoustics, in Proceedings of the 2012 IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 25-30 2012, pp. 4657-4660. Kyoto, Japan: The Institute of Electrical and Electronics Engineers Signal Processing Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/32699
dc.identifier.doi10.1109/ICASSP.2012.6288957
dc.description.abstract

In this paper, a modified a priori SNR estimator is proposed for speech enhancement. The well-known decision-directed (DD) approach is modified by matching each gain function with the noisy speech spectrum at current frame rather than the previous one. The proposed algorithm eliminates the speech transient distortion and reduces the impact from the choice of the gain function towards the level of smoothing in the SNR estimate. An objective evaluation metric is employed to measure the trade-off between musical noise, noise reduction and speech distortion. Performance is evaluated and compared between a modified sigmoid gain function, the state-of-the-art log-spectral amplitude estimator and the Wiener filter. Simulation results show that the modified DD approach performs better in terms of the trade-off evaluation.

dc.publisherThe Institute of Electrical and Electronics Engineers Signal Processing Society
dc.titleTrade-off evaluation for speech enhancement algorithms with respect to the a priori SNR estimation acoustics
dc.typeConference Paper
dcterms.source.startPage4657
dcterms.source.endPage4660
dcterms.source.titleProceedings of the 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing
dcterms.source.seriesProceedings of the 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing
dcterms.source.isbn9781467300469
dcterms.source.conference2012 IEEE International Conference on Acoustics, Speech, and Signal Processing
dcterms.source.conference-start-dateMar 25 2012
dcterms.source.conferencelocationKyoto, Japan
dcterms.source.placeJapan
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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