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Rehaussement du signal de parole voisé par filtrage adaptatif des modes intrinsèques empiriques

dc.contributor.author
 hal.structure.identifier
KHALDI, Kais
13094 Institut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.author
 hal.structure.identifier
TURKI, Monia
24095 Unité Signaux et Systèmes [U2S]
dc.contributor.author
 hal.structure.identifier
BOUDRAA, Abdel-Ouahab
13094 Institut de Recherche de l'Ecole Navale [IRENAV]
dc.date.accessioned2014
dc.date.available2014
dc.date.issued2010
dc.date.submitted2014
dc.identifier.issn1793-5369
dc.identifier.urihttp://hdl.handle.net/10985/8987
dc.description.abstractIn this paper a new method for voiced speech enhancement combining the Empirical Mode Decomposition (EMD) and the Adaptive Center Weighted Average (ACWA) filter is introduced. Noisy signal is decomposed adaptively into intrinsic oscillatory components called Intrinsic Mode Functions (IMFs). Since voiced speech structure is mostly distributed on both medium and low frequencies, the shorter scale IMFs of the noisy signal are beneath noise, however the longer scale ones are less noisy. Therefore, the main idea of the proposed approach is to only filter the shorter scale IMFs, and to keep the longer scale ones unchanged. In fact, the filtering of longer scale IMFs will introduce distortion rather than reducing noise. The denoising method is applied to several voiced speech signals with different noise levels and the results are compared with wavelet approach, ACWA filter and EMD–ACWA (filtering of all IMFs using ACWA filter). Relying on exhaustive simulations, we show the efficiency of the proposed method for reducing noise and its superiority over other denoising methods, i.e., to improve Signal-to-Noise Ratio (SNR), and to offer better listening quality based on a Perceptual Evaluation of Speech Quality (PESQ). The present study is limited to signals corrupted by additive white Gaussian noise.
dc.language.isoen
dc.publisherWorld Scientific
dc.rightsPost-print
dc.subjectVoiced speech enhancement
dc.subjectEmpirical Mode Decomposition
dc.subjectACWA filter
dc.subjectDécomposition modale empirique
dc.subjectSignal de parole
dc.subjectSéquence voisée
dc.titleVoiced speech enhancement based on adaptive filtering of selected intrinsic mode functions
dc.titleRehaussement du signal de parole voisé par filtrage adaptatif des modes intrinsèques empiriques
dc.identifier.doi10.1142/S1793536910000409
dc.typdocArticle dans une revue avec comité de lecture
dc.localisationCentre de Paris
dc.subject.halSciences de l'ingénieur: Traitement du signal et de l'image
ensam.audienceInternationale
ensam.page65-80
ensam.journalAdvances in Adaptive Data Analysis
ensam.volume2
ensam.issue1
ensam.languagefr
hal.identifierhal-01087176
hal.version1
hal.statusaccept
dc.identifier.eissn1793-7175


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