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Application of the bispectrum to glottal pulse analysis

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dc.contributor.author Walker, Jacqueline
dc.date.accessioned 2018-02-26T11:53:08Z
dc.date.available 2018-02-26T11:53:08Z
dc.date.issued 2003
dc.identifier.uri http://hdl.handle.net/10344/6611
dc.description peer-reviewed en_US
dc.description.abstract Higher order spectral (HOS) techniques, such as the bispectrum, offer robustness to Gaussian noise and the ability to recover phase information. However, their drawbacks, such as the high variance of estimates and the need for long data records, have limited their use in conventional speech processing applications. As in glottal pulse estimation, all existing inverse filtering approaches use second-order statistics, it is of interest to explore the potential of HOS in this area. Using the theory of HOS factorization and the linear bispectrum, it is shown how voiced speech can be modelled as a nonGaussian coloured noise driven system. The linear bispectrum approach can be used to obtain alternative glottal pulse and vocal tract estimates in hybrid Iterative Adaptive Inverse Filtering (hIAIF) and the results are compared with traditional IAIF. Finally, a new technique which involves joint estimation of the glottal pulse and vocal tract followed by inverse filtering is presented. This new technique shows good preliminary results and is much simpler than previous techniques. en_US
dc.language.iso eng en_US
dc.publisher International Speech Communication Association en_US
dc.relation.ispartof ISCA Tutorial and Workshop on Nonlinear Speech Processing - Nolisp'03 en
dc.relation.ispartofseries ISCA Tutorial and Workshop on Nonlinear Speech Processing - Nolisp'03;
dc.relation.uri http://www.isca-speech.org/iscaweb/index.php/archive/online-archive
dc.subject bispectrum en_US
dc.subject glottal pulse en_US
dc.title Application of the bispectrum to glottal pulse analysis en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.date.updated 2018-02-26T11:48:40Z
dc.description.version PUBLISHED
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 1396973
dc.internal.copyrightchecked Yes
dc.description.status peer-reviewed


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