Speech enhancement using adaptive thresholding based on gamma distribution of Teager energy operated intrinsic mode functions

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dc.authorscopusid57203165669
dc.authorscopusid7801396079
dc.contributor.authorArslan, Özkan
dc.contributor.authorEngin, Erkan Zeki
dc.date.accessioned2022-05-11T14:03:04Z
dc.date.available2022-05-11T14:03:04Z
dc.date.issued2019
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümü
dc.description.abstractThis paper introduces a new speech enhancement algorithm based on the adaptive threshold of intrinsic mode functions (IMFs) of noisy signal frames extracted by empirical mode decomposition. Adaptive threshold values are estimated by using the gamma statistical model of Teager energy operated IMFs of noisy speech and estimated noise based on symmetric Kullback–Leibler divergence. The enhanced speech signal is obtained by a semisoft thresholding function, which is utilized by threshold IMF coefficients of noisy speech. The method is tested on the NOIZEUS speech database and the proposed method is compared with wavelet-shrinkage and EMD-shrinkage methods in terms of segmental SNR improvement (SegSNR), weighted spectral slope (WSS), and perceptual evaluation of speech quality (PESQ). Experimental results show that the proposed method provides a higher SegSNR improvement in dB, lower WSS distance, and higher PESQ scores than wavelet-shrinkage and EMD-shrinkage methods. The proposed method shows better performance than traditional threshold-based speech enhancement approaches from high to low SNR levels. © TÜBİTAK
dc.identifier.doi10.3906/elk-1804-18
dc.identifier.endpage1370
dc.identifier.issn1300-0632
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85065842014
dc.identifier.scopusqualityQ3
dc.identifier.startpage1355
dc.identifier.urihttps://doi.org/10.3906/elk-1804-18
dc.identifier.urihttps://hdl.handle.net/20.500.11776/4594
dc.identifier.volume27
dc.identifier.wosWOS:000463355800049
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorArslan, Özkan
dc.language.isoen
dc.publisherTurkiye Klinikleri
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectEmpirical mode decomposition
dc.subjectGamma distribution
dc.subjectKullback–Leibler divergence
dc.subjectSpeech enhancement
dc.subjectTeager energy
dc.subjectFunctions
dc.subjectProbability distributions
dc.subjectShrinkage
dc.subjectSignal to noise ratio
dc.subjectSpeech enhancement
dc.subjectAdaptive threshold values
dc.subjectAdaptive thresholding
dc.subjectEmpirical Mode Decomposition
dc.subjectGamma distribution
dc.subjectIntrinsic Mode functions
dc.subjectPerceptual evaluation of speech qualities
dc.subjectSpeech enhancement algorithm
dc.subjectTeager energy
dc.subjectSignal processing
dc.titleSpeech enhancement using adaptive thresholding based on gamma distribution of Teager energy operated intrinsic mode functions
dc.typeArticle

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