A subspace-based adaptive approach for multichannel equalization of room acoustics

Di Liu, Rajan S. Rashobh, W. H. Khong, Masahiro Yukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Multichannel equalization (MCEQ) techniques have been proposed for the inversion of acoustic impulse responses (AIRs) with a wide range of applications such as speech dereverberation. Adaptive MCEQ techniques can address the problem of high computational complexity required for the inversion of high order AIRs using non-adaptive algorithms based on the multiple-input/output inverse theorem (MINT). In this paper, we propose a subspace-based adaptive algorithm for MCEQ in the time domain. Unlike conventional techniques, instead of using a single set of inverse filters, multiple sets of inverse filters, each designated for each subspace, are adaptively estimated in our algorithm and equalization is achieved using these filters. Simulation and experimental results show that the proposed adaptive algorithm not only achieves a high convergence rate but also yields better equalization in terms of quality. In addition, the proposed algorithm achieves higher robustness to AIR estimation errors.

Original languageEnglish
Title of host publicationAPSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011
Pages319-325
Number of pages7
Publication statusPublished - 2011
Externally publishedYes
EventAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011 - Xi'an, China
Duration: 2011 Oct 182011 Oct 21

Other

OtherAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011
CountryChina
CityXi'an
Period11/10/1811/10/21

Fingerprint

Impulse response
Acoustics
Adaptive algorithms
Error analysis
Computational complexity

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

Cite this

Liu, D., Rashobh, R. S., Khong, W. H., & Yukawa, M. (2011). A subspace-based adaptive approach for multichannel equalization of room acoustics. In APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011 (pp. 319-325)

A subspace-based adaptive approach for multichannel equalization of room acoustics. / Liu, Di; Rashobh, Rajan S.; Khong, W. H.; Yukawa, Masahiro.

APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011. 2011. p. 319-325.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liu, D, Rashobh, RS, Khong, WH & Yukawa, M 2011, A subspace-based adaptive approach for multichannel equalization of room acoustics. in APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011. pp. 319-325, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011, Xi'an, China, 11/10/18.
Liu D, Rashobh RS, Khong WH, Yukawa M. A subspace-based adaptive approach for multichannel equalization of room acoustics. In APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011. 2011. p. 319-325
Liu, Di ; Rashobh, Rajan S. ; Khong, W. H. ; Yukawa, Masahiro. / A subspace-based adaptive approach for multichannel equalization of room acoustics. APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011. 2011. pp. 319-325
@inproceedings{96cbb8ec6ad14861aa29cdd3358e4f9d,
title = "A subspace-based adaptive approach for multichannel equalization of room acoustics",
abstract = "Multichannel equalization (MCEQ) techniques have been proposed for the inversion of acoustic impulse responses (AIRs) with a wide range of applications such as speech dereverberation. Adaptive MCEQ techniques can address the problem of high computational complexity required for the inversion of high order AIRs using non-adaptive algorithms based on the multiple-input/output inverse theorem (MINT). In this paper, we propose a subspace-based adaptive algorithm for MCEQ in the time domain. Unlike conventional techniques, instead of using a single set of inverse filters, multiple sets of inverse filters, each designated for each subspace, are adaptively estimated in our algorithm and equalization is achieved using these filters. Simulation and experimental results show that the proposed adaptive algorithm not only achieves a high convergence rate but also yields better equalization in terms of quality. In addition, the proposed algorithm achieves higher robustness to AIR estimation errors.",
author = "Di Liu and Rashobh, {Rajan S.} and Khong, {W. H.} and Masahiro Yukawa",
year = "2011",
language = "English",
pages = "319--325",
booktitle = "APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011",

}

TY - GEN

T1 - A subspace-based adaptive approach for multichannel equalization of room acoustics

AU - Liu, Di

AU - Rashobh, Rajan S.

AU - Khong, W. H.

AU - Yukawa, Masahiro

PY - 2011

Y1 - 2011

N2 - Multichannel equalization (MCEQ) techniques have been proposed for the inversion of acoustic impulse responses (AIRs) with a wide range of applications such as speech dereverberation. Adaptive MCEQ techniques can address the problem of high computational complexity required for the inversion of high order AIRs using non-adaptive algorithms based on the multiple-input/output inverse theorem (MINT). In this paper, we propose a subspace-based adaptive algorithm for MCEQ in the time domain. Unlike conventional techniques, instead of using a single set of inverse filters, multiple sets of inverse filters, each designated for each subspace, are adaptively estimated in our algorithm and equalization is achieved using these filters. Simulation and experimental results show that the proposed adaptive algorithm not only achieves a high convergence rate but also yields better equalization in terms of quality. In addition, the proposed algorithm achieves higher robustness to AIR estimation errors.

AB - Multichannel equalization (MCEQ) techniques have been proposed for the inversion of acoustic impulse responses (AIRs) with a wide range of applications such as speech dereverberation. Adaptive MCEQ techniques can address the problem of high computational complexity required for the inversion of high order AIRs using non-adaptive algorithms based on the multiple-input/output inverse theorem (MINT). In this paper, we propose a subspace-based adaptive algorithm for MCEQ in the time domain. Unlike conventional techniques, instead of using a single set of inverse filters, multiple sets of inverse filters, each designated for each subspace, are adaptively estimated in our algorithm and equalization is achieved using these filters. Simulation and experimental results show that the proposed adaptive algorithm not only achieves a high convergence rate but also yields better equalization in terms of quality. In addition, the proposed algorithm achieves higher robustness to AIR estimation errors.

UR - http://www.scopus.com/inward/record.url?scp=84866847575&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84866847575&partnerID=8YFLogxK

M3 - Conference contribution

SP - 319

EP - 325

BT - APSIPA ASC 2011 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011

ER -