Computationally efficient equalization of room impulse responses robust to system estimation errors

Wancheng Zhang; Nikolay D. Gaubitch; Patrick A. Naylor

doi:10.1109/ICASSP.2008.4518537

Computationally efficient equalization of room impulse responses robust to system estimation errors

Wancheng Zhang^*, Nikolay D. Gaubitch, Patrick A. Naylor

^*Corresponding author for this work

Imperial College London

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Equalization techniques for room impulse responses (RIRs) are important in acoustic signal processing applications such as speech dereverberation. In practice, only approximate estimates of the RIRs are available and the inverse filters designed from these estimates may cause significant distortion in the equalized signal. A second issue is that existing equalizer design algorithms are computationally expensive. We here propose regularized subband equalizer design algorithm. Both the computational complexity and the robustness of the equalizer design to system estimation errors are improved. An analysis of the computational complexity and simulation examples are provided to support our study.

Original language	English
Title of host publication	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages	4025-4028
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2008.4518537
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States Duration: 31 Mar 2008 → 4 Apr 2008

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country/Territory	United States
City	Las Vegas, NV
Period	31/03/08 → 4/04/08

Keywords

Acoustic signal processing
Deconvolution
Equalizers
Inverse problems

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10.1109/ICASSP.2008.4518537

Cite this

Zhang, W., Gaubitch, N. D., & Naylor, P. A. (2008). Computationally efficient equalization of room impulse responses robust to system estimation errors. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 4025-4028). Article 4518537 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4518537

@inproceedings{e60da66bbf6540a5a71fd7f38df1af34,

title = "Computationally efficient equalization of room impulse responses robust to system estimation errors",

abstract = "Equalization techniques for room impulse responses (RIRs) are important in acoustic signal processing applications such as speech dereverberation. In practice, only approximate estimates of the RIRs are available and the inverse filters designed from these estimates may cause significant distortion in the equalized signal. A second issue is that existing equalizer design algorithms are computationally expensive. We here propose regularized subband equalizer design algorithm. Both the computational complexity and the robustness of the equalizer design to system estimation errors are improved. An analysis of the computational complexity and simulation examples are provided to support our study.",

keywords = "Acoustic signal processing, Deconvolution, Equalizers, Inverse problems",

author = "Wancheng Zhang and Gaubitch, {Nikolay D.} and Naylor, {Patrick A.}",

year = "2008",

doi = "10.1109/ICASSP.2008.4518537",

language = "English",

isbn = "1424414849",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

pages = "4025--4028",

booktitle = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP",

note = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP ; Conference date: 31-03-2008 Through 04-04-2008",

}

Zhang, W, Gaubitch, ND & Naylor, PA 2008, Computationally efficient equalization of room impulse responses robust to system estimation errors. in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP., 4518537, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 4025-4028, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV, United States, 31/03/08. https://doi.org/10.1109/ICASSP.2008.4518537

Computationally efficient equalization of room impulse responses robust to system estimation errors. / Zhang, Wancheng; Gaubitch, Nikolay D.; Naylor, Patrick A.
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 2008. p. 4025-4028 4518537 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Computationally efficient equalization of room impulse responses robust to system estimation errors

AU - Zhang, Wancheng

AU - Gaubitch, Nikolay D.

AU - Naylor, Patrick A.

PY - 2008

Y1 - 2008

N2 - Equalization techniques for room impulse responses (RIRs) are important in acoustic signal processing applications such as speech dereverberation. In practice, only approximate estimates of the RIRs are available and the inverse filters designed from these estimates may cause significant distortion in the equalized signal. A second issue is that existing equalizer design algorithms are computationally expensive. We here propose regularized subband equalizer design algorithm. Both the computational complexity and the robustness of the equalizer design to system estimation errors are improved. An analysis of the computational complexity and simulation examples are provided to support our study.

AB - Equalization techniques for room impulse responses (RIRs) are important in acoustic signal processing applications such as speech dereverberation. In practice, only approximate estimates of the RIRs are available and the inverse filters designed from these estimates may cause significant distortion in the equalized signal. A second issue is that existing equalizer design algorithms are computationally expensive. We here propose regularized subband equalizer design algorithm. Both the computational complexity and the robustness of the equalizer design to system estimation errors are improved. An analysis of the computational complexity and simulation examples are provided to support our study.

KW - Acoustic signal processing

KW - Deconvolution

KW - Equalizers

KW - Inverse problems

UR - http://www.scopus.com/inward/record.url?scp=51449110213&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2008.4518537

DO - 10.1109/ICASSP.2008.4518537

M3 - Conference contribution

AN - SCOPUS:51449110213

SN - 1424414849

SN - 9781424414840

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 4025

EP - 4028

BT - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP

T2 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP

Y2 - 31 March 2008 through 4 April 2008

ER -

Zhang W, Gaubitch ND, Naylor PA. Computationally efficient equalization of room impulse responses robust to system estimation errors. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 2008. p. 4025-4028. 4518537. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2008.4518537

Computationally efficient equalization of room impulse responses robust to system estimation errors

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