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Decay Rate Estimators and Their Performance for Blind Reverberation Time Estimation
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-3439-0468
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2718-0262
2014 (English)In: IEEE/ACM Transactions on Audio, Speech, and Language Processing, ISSN 2329-9290, Vol. 22, no 8, 1274-1284 p.Article in journal (Refereed) Published
Abstract [en]

Several approaches for blind estimation of reverberation time have been presented in the literature and decay rate estimation is an integral part of many, if not all, of such approaches. This paper provides both an analytical and experimental comparison, in terms of the bias and variance of three common decay rate estimators; a straight-forward linear regression approach as well as two maximum-likelihood based methods. Situations with and without interfering additive noise are considered. It is shown that the linear regression based approach is unbiased if no smoothing is applied, and that the estimation variance in the absence of noise is constantly about twice that of the maximum-likelihood based methods. It is shown that the methods that do not take possible noise into account suffer from similar estimation bias in the presence of noise. Further, a hybrid method, combining the noise robustness and low computational complexity advantages of the two different maximum-likelihood based methods, is presented.

Place, publisher, year, edition, pages
2014. Vol. 22, no 8, 1274-1284 p.
Keyword [en]
Blind estimation, reverberation time, decay rate, maximum-likelihood estimation
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-147341DOI: 10.1109/TASLP.2014.2328174ISI: 000340036300005Scopus ID: 2-s2.0-84911480873OAI: oai:DiVA.org:kth-147341DiVA: diva2:729535
Note

QC 20140630

Available from: 2014-06-26 Created: 2014-06-26 Last updated: 2014-09-12Bibliographically approved

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Schüldt, ChristianHändel, Peter

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