Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/30961
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dc.coverage.spatialComputer Scienceen_US
dc.date.accessioned2014-12-17T06:24:55Z-
dc.date.available2014-12-17T06:24:55Z-
dc.date.issued2014-12-17-
dc.identifier.urihttp://hdl.handle.net/10603/30961-
dc.description.abstractAbstract availableen_US
dc.format.extent175p.en_US
dc.languageEnglishen_US
dc.relationNo. of references 115en_US
dc.rightsuniversityen_US
dc.titleSignificance of nature of features from linear prediction residual for speaker recognition using gaussian mixture model and ergodic hidden markov modelen_US
dc.title.alternativeSignificance of nature of features from linear prediction residual for speaker recognition using gaussian mixture model and ergodic hidden markov modelen_US
dc.creator.researcherChenchamma, Gen_US
dc.subject.keywordErgodic Hidden Markov Modelen_US
dc.subject.keywordGaussian Mixture modelen_US
dc.subject.keywordSpeaker Recognitionen_US
dc.description.noteAppendix 159-161, References 162-174en_US
dc.contributor.guideGovardhan, Aen_US
dc.publisher.placeGunturen_US
dc.publisher.universityAcharya Nagarjuna Universityen_US
dc.publisher.institutionDepartment of Commerce and Business Administrationen_US
dc.date.registeredn.d.en_US
dc.date.completed2013en_US
dc.date.awardedn.d.en_US
dc.format.dimensions-en_US
dc.format.accompanyingmaterialNoneen_US
dc.type.degreePh.D.en_US
dc.source.inflibnetINFLIBNETen_US
Appears in Departments:Department of Commerce and Business Administration

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01_title.pdfAttached File2 MBAdobe PDFView/Open
02_declaration.pdf991.1 kBAdobe PDFView/Open
03_cetificate.pdf3.09 MBAdobe PDFView/Open
04_acknowledgement.pdf4 MBAdobe PDFView/Open
05_content.pdf2.11 MBAdobe PDFView/Open
06_figures.pdf1.12 MBAdobe PDFView/Open
07_tables.pdf1.12 MBAdobe PDFView/Open
08_abbreviations.pdf1.11 MBAdobe PDFView/Open
09_abstract.pdf1.27 MBAdobe PDFView/Open
10_chapter 1.pdf2.75 MBAdobe PDFView/Open
11_chapter 2.pdf2.88 MBAdobe PDFView/Open
12_chapter 3.pdf4.62 MBAdobe PDFView/Open
13_chapter 4.pdf3.72 MBAdobe PDFView/Open
14_chapter 5.pdf3.64 MBAdobe PDFView/Open
15_chapter 6.pdf1.98 MBAdobe PDFView/Open
16_appendix.pdf1.87 MBAdobe PDFView/Open
17_bibliography.pdf3.88 MBAdobe PDFView/Open


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