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dc.contributor.authorKhan, Junaid
dc.contributor.authorJan, Tariqullah
dc.contributor.authorKhalil, Ruhul
dc.contributor.authorSaeed, Nasir
dc.contributor.authorAlmutiry, Muhannad
dc.date.accessioned2021-05-31T07:31:04Z
dc.date.available2021-05-31T07:31:04Z
dc.date.issued2021-05-25
dc.identifier.citationKhan, J., Jan, T., Khalil, R., Saeed, N., & Almutiry, M. (2021). An Efficient Multistage Approach for Blind Source Separation of Noisy Convolutive Speech Mixture. doi:10.20944/preprints202105.0543.v1
dc.identifier.doi10.20944/preprints202105.0543.v1
dc.identifier.urihttp://hdl.handle.net/10754/669302
dc.description.abstractThis paper proposes a novel efficient multistage algorithm to extract source speech signals from a noisy convolutive mixture. The proposed approach comprises of two stages named Blind Source Separation (BSS) and De-noising. A hybrid source prior model separates the source signals from the noisy reverberant mixture in the BSS stage. Moreover, we model the low and high-energy components by generalized multivariate Gaussian and super-Gaussian models, respectively. We use Minimum Mean Square Error (MMSE) to reduce noise in the noisy convolutive mixture signal in the de-noising stage. Furthermore, two proposed models investigate the performance gain. In the first model, the speech signal is separated from the observed noisy convolutive mixture in the BSS stage, followed by suppression of noise in the estimated source signals in the de-noising module. In the second approach, the noise is reduced using the MMSE filtering technique in the received noisy convolutive mixture at the de-noising stage, followed by separation of source signals from the de-noised reverberant mixture at the BSS stage. We evaluate the performance of the proposed scheme in terms of signal-to-distortion ratio (SDR) with respect to other well-known multistage BSS methods. The results show the superior performance of the proposed algorithm over the other state-of-the-art methods.
dc.publisherMDPI AG
dc.relation.urlhttps://www.preprints.org/manuscript/202105.0543/v1
dc.rightsArchived with thanks to MDPI AG
dc.rights.urihttp://creativecommons.org/licenses/by/4.0
dc.subjectBlind Source Separation (BSS)
dc.subjectMinimum Mean Square Error (MMSE)
dc.subjectconvolutive mixture
dc.subjectsource Prior
dc.subjectgeneralized Gaussian distribution
dc.titleAn Efficient Multistage Approach for Blind Source Separation of Noisy Convolutive Speech Mixture
dc.typePreprint
dc.contributor.departmentDepartment of Electrical Engineering, King Abdullah University of Science and Technology, Thuwal, Makkah 23955, Saudi Arabia
dc.eprint.versionPre-print
dc.contributor.institutionDepartment of Electrical Engineering, University of Engineering and Technology, Peshawar 25120, Pakistan
dc.contributor.institutionDepartment of Electrical Engineering, Northern Border University, Arar 73222, Saudi Arabia
kaust.personSaeed, Nasir
refterms.dateFOA2021-05-31T07:33:02Z


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