Fast algorithms for blind estimation of reverberation time

Rama Ratnam; Douglas L. Jones; William D. O'Brien

doi:10.1109/LSP.2004.826667

Fast algorithms for blind estimation of reverberation time

Rama Ratnam, Douglas L. Jones, William D. O'Brien

Research output: Contribution to journal › Letter › peer-review

Abstract

The reverberation time (RT) measures the persistence of a sound in enclosed acoustic spaces. In a previous work, a method for the blind maximum-likelihood estimation (MLE) of RT using passively received microphone signals was presented. The procedure overcomes the drawbacks of current methods that use a controlled sound source for RT determination. Here, fast algorithms for online implementation of the method are developed. One algorithm, suitable for a one-time determination of the RT, requires O(N) computations for a data frame of length N. A second IIR algorithm, based on Q-levels of quantization, requires O(Q) computations. Results for speech data and choice of algorithms are discussed.

Original language	English (US)
Pages (from-to)	537-540
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	11
Issue number	6
DOIs	https://doi.org/10.1109/LSP.2004.826667
State	Published - Jun 2004

Keywords

Acoustic reverberation time
Blind estimation
Fast algorithms

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

Online availability

10.1109/LSP.2004.826667

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title = "Fast algorithms for blind estimation of reverberation time",

abstract = "The reverberation time (RT) measures the persistence of a sound in enclosed acoustic spaces. In a previous work, a method for the blind maximum-likelihood estimation (MLE) of RT using passively received microphone signals was presented. The procedure overcomes the drawbacks of current methods that use a controlled sound source for RT determination. Here, fast algorithms for online implementation of the method are developed. One algorithm, suitable for a one-time determination of the RT, requires O(N) computations for a data frame of length N. A second IIR algorithm, based on Q-levels of quantization, requires O(Q) computations. Results for speech data and choice of algorithms are discussed.",

keywords = "Acoustic reverberation time, Blind estimation, Fast algorithms",

author = "Rama Ratnam and Jones, {Douglas L.} and O'Brien, {William D.}",

note = "Funding Information: Manuscript received May 23, 2003; revised September 12, 2003. The work was supported by grants from the National Institutes of Health (R21DC04840), Phonak AG, and The Beckman Institute. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Erchin Serpedin.",

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AU - Ratnam, Rama

AU - Jones, Douglas L.

AU - O'Brien, William D.

N1 - Funding Information: Manuscript received May 23, 2003; revised September 12, 2003. The work was supported by grants from the National Institutes of Health (R21DC04840), Phonak AG, and The Beckman Institute. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Erchin Serpedin.

PY - 2004/6

Y1 - 2004/6

N2 - The reverberation time (RT) measures the persistence of a sound in enclosed acoustic spaces. In a previous work, a method for the blind maximum-likelihood estimation (MLE) of RT using passively received microphone signals was presented. The procedure overcomes the drawbacks of current methods that use a controlled sound source for RT determination. Here, fast algorithms for online implementation of the method are developed. One algorithm, suitable for a one-time determination of the RT, requires O(N) computations for a data frame of length N. A second IIR algorithm, based on Q-levels of quantization, requires O(Q) computations. Results for speech data and choice of algorithms are discussed.

AB - The reverberation time (RT) measures the persistence of a sound in enclosed acoustic spaces. In a previous work, a method for the blind maximum-likelihood estimation (MLE) of RT using passively received microphone signals was presented. The procedure overcomes the drawbacks of current methods that use a controlled sound source for RT determination. Here, fast algorithms for online implementation of the method are developed. One algorithm, suitable for a one-time determination of the RT, requires O(N) computations for a data frame of length N. A second IIR algorithm, based on Q-levels of quantization, requires O(Q) computations. Results for speech data and choice of algorithms are discussed.

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Fast algorithms for blind estimation of reverberation time

Abstract

Keywords

ASJC Scopus subject areas

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