A generalized estimation approach for linear and nonlinear microphone array post-filters

Lefkimmiatis, S; Maragos, P

dc.contributor.author	Lefkimmiatis, S	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T01:25:41Z
dc.date.available	2014-03-01T01:25:41Z
dc.date.issued	2007	en
dc.identifier.issn	0167-6393	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17720
dc.subject	Complex coherence	en
dc.subject	Microphone array	en
dc.subject	Noise reduction	en
dc.subject	Nonlinear	en
dc.subject	Post-filter	en
dc.subject	Speech enhancement	en
dc.subject.classification	Acoustics	en
dc.subject.classification	Communication	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Language & Linguistics	en
dc.subject.other	Acoustic noise	en
dc.subject.other	Mean square error	en
dc.subject.other	Noise abatement	en
dc.subject.other	Spectral density	en
dc.subject.other	Speech enhancement	en
dc.subject.other	Speech synthesis	en
dc.subject.other	Coherence function	en
dc.subject.other	Minimum variance distortionless response	en
dc.subject.other	Noise field	en
dc.subject.other	Post-filters	en
dc.subject.other	Wiener post-filter transfer function	en
dc.subject.other	Microphones	en
dc.title	A generalized estimation approach for linear and nonlinear microphone array post-filters	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.specom.2007.02.004	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.specom.2007.02.004	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	This paper presents a robust and general method for estimating the transfer functions of microphone array post-filters, derived under various speech enhancement criteria. For the case of the mean square error (MSE) criterion, the proposed method is an improvement of the existing McCowan post-filter, which under the assumption of a known noise field coherence function uses the auto- and cross-spectral densities of the microphone array noisy inputs to estimate the Wiener post-filter transfer function. In contrast to McCowan post-filter, the proposed method takes into account the noise reduction performed by the minimum variance distortionless response (MVDR) beamformer and obtains a more accurate estimation of the noise spectral density. Furthermore, the proposed estimation approach is general and can be used for the derivation of both linear and nonlinear microphone array post-filters, according to the utilized enhancement criterion. In experiments with real noise multichannel recordings the proposed technique has shown to obtain a significant gain over the other studied methods in terms of five different objective speech quality measures. (c) 2007 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Speech Communication	en
dc.identifier.doi	10.1016/j.specom.2007.02.004	en
dc.identifier.isi	ISI:000248772400010	en
dc.identifier.volume	49	en
dc.identifier.issue	7-8	en
dc.identifier.spage	657	en
dc.identifier.epage	666	en