1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology Guwahati
  3. DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/420241
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DC FieldValueLanguage
dc.coverage.spatialElectronics and Electrical Engineering
dc.date.accessioned2022-11-18T05:51:32Z-
dc.date.available2022-11-18T05:51:32Z-
dc.identifier.urihttp://hdl.handle.net/10603/420241-
dc.description.abstractThe work presented in this thesis investigates different approaches for achieving efficient sparse representation for the purpose of language recognition LR task In this context both simple and discriminatively learned dictionaries have been explored employing different kinds of regularization The presented approaches are contrasted with state of the art i vector representation of speech utterance along with LDA WCCN session channel compensation based LR approach Towards addressing high co...
dc.format.extentNot Available
dc.languageEnglish
dc.relationNot Available
dc.rightsself
dc.titleExploration of sparse representation techniques in language recognition
dc.title.alternativeNot available
dc.creator.researcherSingh, Om Prakash
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.noteNot Available
dc.contributor.guideSinha, Rohit
dc.publisher.placeGuwahati
dc.publisher.universityIndian Institute of Technology Guwahati
dc.publisher.institutionDEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING
dc.date.registered2008
dc.date.completed2019
dc.date.awarded2019
dc.format.dimensionsNot Available
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING

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