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Audio coding via EMD

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.authorKHALDI, Kais
hal.structure.identifierDépartement Signal et Communications [IMT Atlantique - SC]
hal.structure.identifierLab-STICC_IMTA_CID_TOMS
dc.contributor.authorCHONAVEL, Thierry
dc.contributor.authorTURKI HADJ-ALOUANE, Mounia
hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorKOMATY, Ali
dc.date.accessioned2021-05-14T09:33:50Z
dc.date.available2021-05-14T09:33:50Z
dc.date.issued2020-09
dc.identifier.issn1051-2004
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/76083
dc.description.abstractEnIn this paper an audio coding scheme based on the empirical mode decomposition in association with a psychoacoustic model is presented. The principle of the method consists in breaking down adaptively the audio signal into intrinsic oscillatory components, called Intrinsic Mode Functions (IMFs), that are fully described by their local extrema. These extrema are encoded. The coding is carried out frame by frame and no assumption is made upon the signal to be coded. The number of allocated bits varies from mode to mode and obeys to the coding error inaudibility constraint. Due to the symmetry of an IMF, only the extrema (maxima or minima) of one of its interpolating envelopes are perceptually coded. In addition, to deal with rapidly changing audio signals, a stationarity index is used and when a transient is detected, the frame is split into two overlapping sub-frames. At the decoder side, the IMFs are recovered using the associated coded maxima, and the original signal is reconstructed by IMFs summation. Performance of the proposed coding is analyzed and compared to that of MP3 and AAC codecs, and the wavelet-based coding approach. Based on the analyzed mono audio signals, the obtained results show that the proposed coding scheme outperforms the MP3 and the wavelet-based coding methods and performs slightly better than the AAC codec, showing thus the potential of the EMD for data-driven audio coding.
dc.language.isoen
dc.publisherElsevier
dc.subject.enEmpirical mode decomposition
dc.subject.enEmpirical mode compression
dc.subject.enAudio coding
dc.subject.enSub-band coding
dc.subject.enStationarity index
dc.subject.enPsychoacoustic model
dc.title.enAudio coding via EMD
dc.typeArticle de revue
dc.identifier.doi10.1016/j.dsp.2020.102770
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.journalDigital Signal Processing
bordeaux.page102770
bordeaux.volume104
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-02902533
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02902533v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Digital%20Signal%20Processing&rft.date=2020-09&rft.volume=104&rft.spage=102770&rft.epage=102770&rft.eissn=1051-2004&rft.issn=1051-2004&rft.au=BOUDRAA,%20Abdel-Ouahab&KHALDI,%20Kais&CHONAVEL,%20Thierry&TURKI%20HADJ-ALOUANE,%20Mounia&KOMATY,%20Ali&rft.genre=article


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