Acoustic Feedback and Echo Cancellation Strategies for Multiple-Microphone and Single-Loudspeaker Systems

Meng Guo, Thomas Bo Elmedyb, Søren Holdt Jensen, Jesper Jensen

Research output: Contribution to journalConference article in JournalResearchpeer-review

1 Citation (Scopus)

Abstract

Acoustic feedback/echo cancellation in a multiple-microphone and single-loudspeaker system is often carried out using a cancellation filter for each microphone channel, and the filters are adaptively estimated, independently of each other. In this work, we consider another strategy by estimating all the cancellation filters jointly and in this way exploit information from all microphone channels. We determine the statistical system behavior for the joint estimation strategy in terms of the convergence rate and steady-state behavior across time and frequency. We assess if an improved cancellation performance is achievable compared to the independent estimation strategy. Furthermore, we relate the joint estimation strategy to a stereophonic echo cancellation system and provide analytic expressions for its system behavior.
Original languageEnglish
JournalAsilomar Conference on Signals, Systems and Computers. Conference Record
Pages (from-to)556-560
ISSN1058-6393
DOIs
Publication statusPublished - 6 Nov 2011
EventAsilomar Conference on Signals, Systems and computers, Nov. 6-9, 2011 - Pacific Grove, United States
Duration: 6 Nov 20119 Nov 2011

Seminar

SeminarAsilomar Conference on Signals, Systems and computers, Nov. 6-9, 2011
CountryUnited States
CityPacific Grove
Period06/11/201109/11/2011

Fingerprint

Echo suppression
Loudspeakers
Microphones
Acoustics
Feedback

Bibliographical note

Please note that the 2011 Asilomar conference was created as a seminar in the PURE system. The same conference for the previous years were correctly created as conference.

Keywords

  • Adaptive filters
  • Open-loop transfer function
  • Estimation strategy
  • Joint estimation
  • Stereophonic echo problem

Cite this

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title = "Acoustic Feedback and Echo Cancellation Strategies for Multiple-Microphone and Single-Loudspeaker Systems",
abstract = "Acoustic feedback/echo cancellation in a multiple-microphone and single-loudspeaker system is often carried out using a cancellation filter for each microphone channel, and the filters are adaptively estimated, independently of each other. In this work, we consider another strategy by estimating all the cancellation filters jointly and in this way exploit information from all microphone channels. We determine the statistical system behavior for the joint estimation strategy in terms of the convergence rate and steady-state behavior across time and frequency. We assess if an improved cancellation performance is achievable compared to the independent estimation strategy. Furthermore, we relate the joint estimation strategy to a stereophonic echo cancellation system and provide analytic expressions for its system behavior.",
keywords = "Adaptive filters, Open-loop transfer function, Estimation strategy, Joint estimation, Stereophonic echo problem",
author = "Meng Guo and Elmedyb, {Thomas Bo} and Jensen, {S{\o}ren Holdt} and Jesper Jensen",
note = "Please note that the 2011 Asilomar conference was created as a seminar in the PURE system. The same conference for the previous years were correctly created as conference.",
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Acoustic Feedback and Echo Cancellation Strategies for Multiple-Microphone and Single-Loudspeaker Systems. / Guo, Meng; Elmedyb, Thomas Bo; Jensen, Søren Holdt; Jensen, Jesper.

In: Asilomar Conference on Signals, Systems and Computers. Conference Record, 06.11.2011, p. 556-560.

Research output: Contribution to journalConference article in JournalResearchpeer-review

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T1 - Acoustic Feedback and Echo Cancellation Strategies for Multiple-Microphone and Single-Loudspeaker Systems

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N2 - Acoustic feedback/echo cancellation in a multiple-microphone and single-loudspeaker system is often carried out using a cancellation filter for each microphone channel, and the filters are adaptively estimated, independently of each other. In this work, we consider another strategy by estimating all the cancellation filters jointly and in this way exploit information from all microphone channels. We determine the statistical system behavior for the joint estimation strategy in terms of the convergence rate and steady-state behavior across time and frequency. We assess if an improved cancellation performance is achievable compared to the independent estimation strategy. Furthermore, we relate the joint estimation strategy to a stereophonic echo cancellation system and provide analytic expressions for its system behavior.

AB - Acoustic feedback/echo cancellation in a multiple-microphone and single-loudspeaker system is often carried out using a cancellation filter for each microphone channel, and the filters are adaptively estimated, independently of each other. In this work, we consider another strategy by estimating all the cancellation filters jointly and in this way exploit information from all microphone channels. We determine the statistical system behavior for the joint estimation strategy in terms of the convergence rate and steady-state behavior across time and frequency. We assess if an improved cancellation performance is achievable compared to the independent estimation strategy. Furthermore, we relate the joint estimation strategy to a stereophonic echo cancellation system and provide analytic expressions for its system behavior.

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KW - Open-loop transfer function

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KW - Stereophonic echo problem

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