Nonlinear stereophonic acoustic echo cancellation using sub-filter based adaptive algorithm.
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| Title: | Nonlinear stereophonic acoustic echo cancellation using sub-filter based adaptive algorithm. |
|---|---|
| Authors: | Burra, Srikanth1 (AUTHOR) edm19d001@iiitdm.ac.in, Kar, Asutosh1 (AUTHOR) asutoshkar@iiitdm.ac.in |
| Source: | Digital Signal Processing. Mar2022, Vol. 121, pN.PAG-N.PAG. 1p. |
| Subjects: | Adaptive filters, Inter-carrier interference, Echo, Key performance indicators (Management), Authorship |
| Abstract: | The nonlinear echo path resulting from the unwarranted acoustic echo and nonlinear distortion will degrade the echo cancellation performance of a stereophonic acoustic echo cancellation system. Techniques proposed in the literature rely on the assumption of a linear echo path. In this paper, a nonlinear stereophonic acoustic echo cancellation framework is proposed to address the problem of nonlinear distortion in stereophonic acoustic cancellation systems with a better trade-off between convergence and steady-state performance. The proposed approach uses the functional link-based adaptive filtering to deal with the nonlinear distortion in combination with the sub-filter approach to enhance the convergence performance. In addition to that, the convergence analysis of the proposed algorithm is presented in this paper. Simulations carried out using echo return loss enhancement and magnitude squared coherence as performance metrics using speech and colored noise input demonstrate the proposed framework's ability to improve the echo cancellation performance in the presence of distortion. [ABSTRACT FROM AUTHOR] |
| Copyright of Digital Signal Processing is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 154695757 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Nonlinear stereophonic acoustic echo cancellation using sub-filter based adaptive algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Burra%2C+Srikanth%22">Burra, Srikanth</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> edm19d001@iiitdm.ac.in</i><br /><searchLink fieldCode="AR" term="%22Kar%2C+Asutosh%22">Kar, Asutosh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> asutoshkar@iiitdm.ac.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Digital+Signal+Processing%22">Digital Signal Processing</searchLink>. Mar2022, Vol. 121, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Adaptive+filters%22">Adaptive filters</searchLink><br /><searchLink fieldCode="DE" term="%22Inter-carrier+interference%22">Inter-carrier interference</searchLink><br /><searchLink fieldCode="DE" term="%22Echo%22">Echo</searchLink><br /><searchLink fieldCode="DE" term="%22Key+performance+indicators+%28Management%29%22">Key performance indicators (Management)</searchLink><br /><searchLink fieldCode="DE" term="%22Authorship%22">Authorship</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The nonlinear echo path resulting from the unwarranted acoustic echo and nonlinear distortion will degrade the echo cancellation performance of a stereophonic acoustic echo cancellation system. Techniques proposed in the literature rely on the assumption of a linear echo path. In this paper, a nonlinear stereophonic acoustic echo cancellation framework is proposed to address the problem of nonlinear distortion in stereophonic acoustic cancellation systems with a better trade-off between convergence and steady-state performance. The proposed approach uses the functional link-based adaptive filtering to deal with the nonlinear distortion in combination with the sub-filter approach to enhance the convergence performance. In addition to that, the convergence analysis of the proposed algorithm is presented in this paper. Simulations carried out using echo return loss enhancement and magnitude squared coherence as performance metrics using speech and colored noise input demonstrate the proposed framework's ability to improve the echo cancellation performance in the presence of distortion. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Digital Signal Processing is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.dsp.2021.103323 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Adaptive filters Type: general – SubjectFull: Inter-carrier interference Type: general – SubjectFull: Echo Type: general – SubjectFull: Key performance indicators (Management) Type: general – SubjectFull: Authorship Type: general Titles: – TitleFull: Nonlinear stereophonic acoustic echo cancellation using sub-filter based adaptive algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burra, Srikanth – PersonEntity: Name: NameFull: Kar, Asutosh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 10512004 Numbering: – Type: volume Value: 121 Titles: – TitleFull: Digital Signal Processing Type: main |
| ResultId | 1 |
