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dc.contributor.authorDrugman, Thomas
dc.contributor.authorBozkurt, Barış
dc.contributor.authorDutoit, Thierry
dc.date.accessioned2017-03-15T08:50:28Z
dc.date.available2017-03-15T08:50:28Z
dc.date.issued2011-07
dc.identifier.citationDrugman, T., Bozkurt, B.,and Dutoit, T. (2011). Causal-anticausal decomposition of speech using complex cepstrum for glottal source estimation. Speech Communication, 53(6) , 855-866. doi:10.1016/j.specom.2011.02.004en_US
dc.identifier.issn0167-6393
dc.identifier.urihttps://doi.org/10.1016/j.specom.2011.02.004
dc.identifier.urihttp://hdl.handle.net/11147/5059
dc.description.abstractComplex cepstrum is known in the literature for linearly separating causal and anticausal components. Relying on advances achieved by the Zeros of the Z-Transform (ZZT) technique, we here investigate the possibility of using complex cepstrum for glottal flow estimation on a large-scale database. Via a systematic study of the windowing effects on the deconvolution quality, we show that the complex cepstrum causal-anticausal decomposition can be effectively used for glottal flow estimation when specific windowing criteria are met. It is also shown that this complex cepstral decomposition gives similar glottal estimates as obtained with the ZZT method. However, as complex cepstrum uses FFT operations instead of requiring the factoring of high-degree polynomials, the method benefits from a much higher speed. Finally in our tests on a large corpus of real expressive speech, we show that the proposed method has the potential to be used for voice quality analysis.en_US
dc.description.sponsorshipFonds National de la Recherche Scientifique (FNRS); Scientific and Technological Research Council of Turkeyen_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.specom.2011.02.004en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectComplex cepstrumen_US
dc.subjectGlottal source estimationen_US
dc.subjectHomomorphic analysisen_US
dc.subjectSource-tract separationen_US
dc.subjectSpeech processingen_US
dc.titleCausal-anticausal decomposition of speech using complex cepstrum for glottal source estimationen_US
dc.typearticleen_US
dc.contributor.institutionauthorBozkurt, Barış
dc.relation.journalSpeech Communicationen_US
dc.contributor.departmentİYTE, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume53en_US
dc.identifier.issue6en_US
dc.identifier.startpage855en_US
dc.identifier.endpage866en_US
dc.identifier.wosWOS:000290829500006
dc.identifier.scopusSCOPUS:2-s2.0-79955528226
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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