A blind algorithm for reverberation-time estimation using subband decomposition of speech signals

被引：17

作者：

Prego, Thiago de M. ^{[1
]}

de Lima, Amaro A. ^{[1
,4
]}

Netto, Sergio L. ^{[1
]}

Lee, Bowon ^{[2
]}

Said, Amir ^{[2
]}

Schafer, Ronald W. ^{[2
]}

Kalker, Ton ^{[2
,3
]}

机构：

[1] Univ Fed Rio de Janeiro, COPPE, Elect Engn Program, BR-21941972 Rio De Janeiro, RJ, Brazil

[2] Hewlett Packard Labs, Palo Alto, CA 94304 USA

[3] Huawei Innovat Ctr US R&D, Santa Clara, CA 95050 USA

[4] Fed Ctr Technol Educ Celso Suckow da Fonseca CEFE, BR-26041271 Nova Iguacu, RJ, Brazil

来源：

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA | 2012年 / 131卷 / 04期

关键词：

D O I：

10.1121/1.3688503

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

An algorithm for blind estimation of reverberation time (RT) in speech signals is proposed. Analysis is restricted to the free-decaying regions of the signal, where the reverberation effect dominates, yielding a more accurate RT estimate at a reduced computational cost. A spectral decomposition is performed on the reverberant signal and partial RT estimates are determined in all signal subbands, providing more data to the statistical-analysis stage of the algorithm, which yields the final RT estimate. Algorithm performance is assessed using two distinct speech databases, achieving 91% and 97% correlation with the RTs measured by a standard nonblind method, indicating that the proposed method blindly estimates the RT in a reliable and consistent manner. (C) 2012 Acoustical Society of America. [http://dx.doi.org/10.1121/1.3688503]

引用

页码：2811 / 2816

页数：6

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