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Speech enhancement using empirical mode decomposition and the Teager–Kaiser energy operator

hal.structure.identifierEcole Nationale d'Ingénieurs de Tunis [ENIT]
dc.contributor.authorKHALDI, Kais
hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorBOUDRAA, Abdel-Ouahab
hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorKOMATY, Ali
dc.date.accessioned2021-05-14T09:58:47Z
dc.date.available2021-05-14T09:58:47Z
dc.date.issued2014-01
dc.identifier.issn0001-4966
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77976
dc.description.abstractEnIn this paper a speech denoising strategy based on time adaptive thresholding of intrinsic modes functions (IMFs) of the signal, extracted by empirical mode decomposition (EMD), is introduced. The denoised signal is reconstructed by the superposition of its adaptive thresholded IMFs. Adaptive thresholds are estimated using the Teager–Kaiser energy operator (TKEO) of signal IMFs. More precisely, TKEO identifies the type of frame by expanding differences between speech and non-speech frames in each IMF. Based on the EMD, the proposed speech denoising scheme isa fully data-driven approach. The method is tested on speech signals with different noise levels and the results are compared to EMD-shrinkage and wavelet transform (WT) coupled with TKEO. Speech enhancement performance is evaluated using output signal to noise ratio (SNR) and perceptual evaluation of speech quality (PESQ) measure. Based on the analyzed speech signals, the proposed enhancement scheme performs better than WT-TKEO and EMD-shrinkage approaches in terms of output SNR and PESQ. The noise is greatly reduced using time-adaptive thresholding than universal thresholding. The study is limited to signals corrupted by additive white Gaussian noise.
dc.language.isoen
dc.publisherAcoustical Society of America
dc.subjectInterpolation
dc.subjectSignal de Parole
dc.subjectOpérateur de Teager-Kaiser
dc.subjectSpeech
dc.subjectSpeech analysis
dc.subjectWavelets
dc.subjectDécomposition modale empirique
dc.subjectNoise propagation
dc.title.enSpeech enhancement using empirical mode decomposition and the Teager–Kaiser energy operator
dc.typeArticle de revue
dc.identifier.doi10.1121/1.4837835
dc.subject.halSciences de l'ingénieur [physics]/Acoustique [physics.class-ph]
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.journalJournal of the Acoustical Society of America
bordeaux.page451-459
bordeaux.volume135
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-01084175
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01084175v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20the%20Acoustical%20Society%20of%20America&rft.date=2014-01&rft.volume=135&rft.issue=1&rft.spage=451-459&rft.epage=451-459&rft.eissn=0001-4966&rft.issn=0001-4966&rft.au=KHALDI,%20Kais&BOUDRAA,%20Abdel-Ouahab&KOMATY,%20Ali&rft.genre=article


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