A blind algorithm for reverberation-time estimation using subband decomposition of speech signals |
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Authors: | Prego Thiago de M de Lima Amaro A Netto Sergio L Lee Bowon Said Amir Schafer Ronald W Kalker Ton |
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Affiliation: | Electrical Engineering Program, COPPE, Federal University of Rio de Janeiro, Avenue Athos da Silveira Ramos 149, Rio de Janeiro 21941-972, Brazil. thprego@lps.ufrj.br |
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Abstract: | 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. |
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