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dc.contributor.authorRoy, Sujan Kumar
dc.contributor.authorPaliwal, Kuldip K
dc.date.accessioned2021-01-10T23:21:59Z
dc.date.available2021-01-10T23:21:59Z
dc.date.issued2020
dc.identifier.doi10.1109/icspcs50536.2020.9310005
dc.identifier.urihttp://hdl.handle.net/10072/400836
dc.description.abstractThe state-of-the-art robustness metric-based tuning of the augmented Kalman filter (AKF) gives an under-estimated Kalman gain, resulting distortion in the enhanced speech during colored noise suppression. This paper introduces a sensitivity metric-based tuning of the AKF for enhancing speech corrupted with different noises. Specifically, we observe that the sensitivity metric-based tuning of the AKF overcomes the under-estimation issues of Kalman gain in the existing method. It is shown that the reduced-biased Kalman gain enables the AKF to restrict the residual noise passed to the enhanced speech. It also minimizes the distortion in the enhanced speech. Objective and subjective testing on NOIZEUS corpus reveal that the enhanced speech produced by the proposed method exhibits higher quality as well as intelligibility than the benchmark methods in colored and non-stationary noise conditions for a wide range of SNR levels.
dc.description.peerreviewedYes
dc.publisherIEEE
dc.relation.ispartofconferencename2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)
dc.relation.ispartofconferencetitle2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)
dc.relation.ispartofdatefrom2020-12-14
dc.relation.ispartofdateto2020-12-16
dc.relation.ispartoflocationAdelaide, Australia
dc.subject.fieldofresearchSignal processing
dc.subject.fieldofresearchcode400607
dc.titleSensitivity Metric-Based Tuning of the Augmented Kalman Filter for Speech Enhancement
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationRoy, SK; Paliwal, KK, Sensitivity Metric-Based Tuning of the Augmented Kalman Filter for Speech Enhancement, 2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS), 2020
dc.date.updated2021-01-09T04:11:31Z
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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gro.griffith.authorPaliwal, Kuldip K.


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