Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9735
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dc.contributor.authorBozkurt, Barış-
dc.contributor.authorCouvreur, Laurent-
dc.contributor.authorDutoit, Thierry-
dc.date.accessioned2021-01-24T18:28:20Z-
dc.date.available2021-01-24T18:28:20Z-
dc.date.issued2007-
dc.identifier.issn0167-6393-
dc.identifier.issn1872-7182-
dc.identifier.urihttps://doi.org/10.1016/j.specom.2006.12.004-
dc.identifier.urihttps://hdl.handle.net/9735-
dc.description.abstractThis study proposes new group delay estimation techniques that can be used for analyzing resonance patterns of short-term discrete-time signals and more specifically speech signals. Phase processing or equivalently group delay processing of speech signals are known to be difficult due to large spikes in the phase/group delay functions that mask the formant structure. In this study, we first analyze in detail the z-transform zero patterns of short-term speech signals in the z-plane and discuss the sources of spikes on group delay functions, namely the zeros closely located to the unit circle. We show that windowing largely influences these patterns, therefore short-term phase processing. Through a systematic study, we then show that reliable phase/group delay estimation for speech signals can be achieved by appropriate windowing and group delay functions can reveal formant information as well as some of the characteristics of the glottal flow component in speech signals. However, such phase estimation is highly sensitive to noise and robust extraction of group delay based parameters remains difficult in real acoustic conditions even with appropriate windowing. As an alternative, we propose processing of chirp group delay functions, i.e. group delay functions computed on a circle other than the unit circle in z-plane, which can be guaranteed to be spike-free. We finally present one application in feature extraction for automatic speech recognition (ASR). We show that chirp group delay representations are potentially useful for improving ASR performance. (c) 2007 Elsevier B.V. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofSpeech Communicationen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGroup delay processingen_US
dc.subjectPhase processingen_US
dc.subjectWindowingen_US
dc.subjectSpectral analysisen_US
dc.subjectAutomatic speech recognitionen_US
dc.titleChirp group delay analysis of speech signalsen_US
dc.typeArticleen_US
dc.institutionauthorBozkurt, Barış-
dc.departmentİzmir Institute of Technology. Electrical and Electronics Engineeringen_US
dc.identifier.volume49en_US
dc.identifier.issue3en_US
dc.identifier.startpage159en_US
dc.identifier.endpage176en_US
dc.identifier.wosWOS:000245965900001en_US
dc.identifier.scopus2-s2.0-33947159989en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.specom.2006.12.004-
dc.relation.doi10.1016/j.specom.2006.12.004en_US
dc.coverage.doi10.1016/j.specom.2006.12.004en_US
dc.identifier.wosqualityQ3-
dc.identifier.scopusqualityQ1-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept03.05. Department of Electrical and Electronics Engineering-
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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