A Signal Decorrelation PNLMS Algorithm for Double-Talk Acoustic Echo Cancellation.
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| Title: | A Signal Decorrelation PNLMS Algorithm for Double-Talk Acoustic Echo Cancellation. |
|---|---|
| Authors: | Pu, Kun1 sabancd@gmail.com, Zhang, Jiashu1 jszhang@home.swjtu.edu.cn, Min, Liangwen1 lwmin@my.swjtu.edu.cn |
| Source: | Circuits, Systems & Signal Processing. Feb2016, Vol. 35 Issue 2, p669-684. 16p. |
| Subjects: | Decorrelation (Signal processing), Correlation methods (Signal processing), Echo, Document type definitions, Document markup languages |
| Abstract: | Acoustic echo cancellation (AEC) in voiced communication systems is used to eliminate the echo which corrupts the speech signal and reduces the efficiency of signal transmission. Usually, the performance of AEC system based on the adaptive filtering degrades seriously in the presence of speech issued from the near-end speaker (double-talk). In typical AEC scenarios, double-talk detector (DTD) must be added to AEC for improving speech quality. One of the main problems in AEC with DTD is that the DTD errors can result in either large residual echo or distorting the near-end input speech. Considering the strong correlation property of speech signals, this paper presents a novel proportionate decorrelation normalized least-mean-square (PDNLMS) adaptive AEC without DTD for echo cancellation as an interesting alternative to the typical AEC with DTDs. Unlike traditional AEC with a DTD, the proposed PDNLMS uses the difference of near-end speech as the residual error to update adaptive echo channel filter during the periods of double-talk, which can efficiently reduce the double-talk influence on the AEC adaptation process. The experimental results show that not only the proposed PDNLMS without DTD illustrate better stability and faster convergence rate, but it is also of a lower steady-state misalignment and better residual signal than current methods with DTDs at a lower computational cost. [ABSTRACT FROM AUTHOR] |
| Copyright of Circuits, Systems & Signal Processing is the property of Springer Nature 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 112695315 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Signal Decorrelation PNLMS Algorithm for Double-Talk Acoustic Echo Cancellation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pu%2C+Kun%22">Pu, Kun</searchLink><relatesTo>1</relatesTo><i> sabancd@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jiashu%22">Zhang, Jiashu</searchLink><relatesTo>1</relatesTo><i> jszhang@home.swjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Min%2C+Liangwen%22">Min, Liangwen</searchLink><relatesTo>1</relatesTo><i> lwmin@my.swjtu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Circuits%2C+Systems+%26+Signal+Processing%22">Circuits, Systems & Signal Processing</searchLink>. Feb2016, Vol. 35 Issue 2, p669-684. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Decorrelation+%28Signal+processing%29%22">Decorrelation (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation+methods+%28Signal+processing%29%22">Correlation methods (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Echo%22">Echo</searchLink><br /><searchLink fieldCode="DE" term="%22Document+type+definitions%22">Document type definitions</searchLink><br /><searchLink fieldCode="DE" term="%22Document+markup+languages%22">Document markup languages</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Acoustic echo cancellation (AEC) in voiced communication systems is used to eliminate the echo which corrupts the speech signal and reduces the efficiency of signal transmission. Usually, the performance of AEC system based on the adaptive filtering degrades seriously in the presence of speech issued from the near-end speaker (double-talk). In typical AEC scenarios, double-talk detector (DTD) must be added to AEC for improving speech quality. One of the main problems in AEC with DTD is that the DTD errors can result in either large residual echo or distorting the near-end input speech. Considering the strong correlation property of speech signals, this paper presents a novel proportionate decorrelation normalized least-mean-square (PDNLMS) adaptive AEC without DTD for echo cancellation as an interesting alternative to the typical AEC with DTDs. Unlike traditional AEC with a DTD, the proposed PDNLMS uses the difference of near-end speech as the residual error to update adaptive echo channel filter during the periods of double-talk, which can efficiently reduce the double-talk influence on the AEC adaptation process. The experimental results show that not only the proposed PDNLMS without DTD illustrate better stability and faster convergence rate, but it is also of a lower steady-state misalignment and better residual signal than current methods with DTDs at a lower computational cost. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Circuits, Systems & Signal Processing is the property of Springer Nature 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: 10.1007/s00034-015-0059-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 669 Subjects: – SubjectFull: Decorrelation (Signal processing) Type: general – SubjectFull: Correlation methods (Signal processing) Type: general – SubjectFull: Echo Type: general – SubjectFull: Document type definitions Type: general – SubjectFull: Document markup languages Type: general Titles: – TitleFull: A Signal Decorrelation PNLMS Algorithm for Double-Talk Acoustic Echo Cancellation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pu, Kun – PersonEntity: Name: NameFull: Zhang, Jiashu – PersonEntity: Name: NameFull: Min, Liangwen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 0278081X Numbering: – Type: volume Value: 35 – Type: issue Value: 2 Titles: – TitleFull: Circuits, Systems & Signal Processing Type: main |
| ResultId | 1 |
