dc.contributor.author | Roy, Sujan Kumar | |
dc.contributor.author | Paliwal, Kuldip K | |
dc.date.accessioned | 2021-01-10T23:21:59Z | |
dc.date.available | 2021-01-10T23:21:59Z | |
dc.date.issued | 2020 | |
dc.identifier.doi | 10.1109/icspcs50536.2020.9310005 | |
dc.identifier.uri | http://hdl.handle.net/10072/400836 | |
dc.description.abstract | The 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.peerreviewed | Yes | |
dc.publisher | IEEE | |
dc.relation.ispartofconferencename | 2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS) | |
dc.relation.ispartofconferencetitle | 2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS) | |
dc.relation.ispartofdatefrom | 2020-12-14 | |
dc.relation.ispartofdateto | 2020-12-16 | |
dc.relation.ispartoflocation | Adelaide, Australia | |
dc.subject.fieldofresearch | Signal processing | |
dc.subject.fieldofresearchcode | 400607 | |
dc.title | Sensitivity Metric-Based Tuning of the Augmented Kalman Filter for Speech Enhancement | |
dc.type | Conference output | |
dc.type.description | E1 - Conferences | |
dcterms.bibliographicCitation | Roy, 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.updated | 2021-01-09T04:11:31Z | |
dc.description.version | Accepted 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. | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Paliwal, Kuldip K. | |