State Space Microphone Array Nonlinear Acoustic Echo Cancellation Using Multi-Microphone Near-End Speech Covariance
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Jihwan | - |
dc.contributor.author | Chang, Joon Hyuk | - |
dc.date.accessioned | 2021-07-30T05:05:37Z | - |
dc.date.available | 2021-07-30T05:05:37Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2019-10 | - |
dc.identifier.issn | 2329-9290 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/2864 | - |
dc.description.abstract | Nonlinear acoustic echo cancellation (AEC) is a highly challenging task in a single-microphone; hence, the AEC technique with a microphone array has also been considered to more effectively reduce the residual echo. However, these algorithms track only a linear acoustic path between the loudspeaker and the microphone array. This study proposes a microphone array form of the single-microphone nonlinear AEC (NAEC) algorithm in the reverberant condition. We extend a single-microphone-based model of the nonlinear acoustic echo to the microphone array case and propose the modeling of the acoustic transfer function (ATF) vector extended with a power series using a state-space equation. The Kalman filter is also adapted to optimally and recursively estimate the ATF vector. Furthermore, low-rank approximation and multi-microphone Wiener filtering are applied to estimate the multi-microphone near-end speech covariance, which results in the microphone array NAEC algorithm showing a consistently outstanding performance under severe signal-to-echo ratio (SER) and highly reverberant conditions. Consequently, our approach outperforms conventional methods regarding echo reduction and near-end speech quality for a wide range of SER and reverberation conditions. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | State Space Microphone Array Nonlinear Acoustic Echo Cancellation Using Multi-Microphone Near-End Speech Covariance | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chang, Joon Hyuk | - |
dc.identifier.doi | 10.1109/TASLP.2019.2923969 | - |
dc.identifier.scopusid | 2-s2.0-85068471530 | - |
dc.identifier.wosid | 000473621000003 | - |
dc.identifier.bibliographicCitation | IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v.27, no.10, pp.1520 - 1534 | - |
dc.relation.isPartOf | IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING | - |
dc.citation.title | IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING | - |
dc.citation.volume | 27 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 1520 | - |
dc.citation.endPage | 1534 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Acoustics | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Acoustics | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | BLIND SOURCE SEPARATION | - |
dc.subject.keywordPlus | NOISE-REDUCTION | - |
dc.subject.keywordPlus | KALMAN FILTER | - |
dc.subject.keywordPlus | DEREVERBERATION | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | ADAPTATION | - |
dc.subject.keywordAuthor | State-space modeling | - |
dc.subject.keywordAuthor | Multi-microphone near-end speech covariance | - |
dc.subject.keywordAuthor | Microphone array nonlinear acoustic echo cancellation | - |
dc.subject.keywordAuthor | Kalman filter | - |
dc.subject.keywordAuthor | Parameterized multi-microphone Wiener filter | - |
dc.subject.keywordAuthor | Low-rank approximation | - |
dc.subject.keywordAuthor | Eigenvalue decomposition | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8741071 | - |
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