Improving searchability of automatically transcribed lectures through dynamic language modelling

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dc.contributor.advisorMbogho, Audrey J Wen_ZA
dc.contributor.authorMarquard, Stephenen_ZA
dc.date.accessioned2015-01-02T09:26:51Z
dc.date.available2015-01-02T09:26:51Z
dc.date.issued2012en_ZA
dc.description.abstractRecording university lectures through lecture capture systems is increasingly common. However, a single continuous audio recording is often unhelpful for users, who may wish to navigate quickly to a particular part of a lecture, or locate a specific lecture within a set of recordings. A transcript of the recording can enable faster navigation and searching. Automatic speech recognition (ASR) technologies may be used to create automated transcripts, to avoid the significant time and cost involved in manual transcription.en_ZA
dc.identifier.apacitationMarquard, S. (2012). <i>Improving searchability of automatically transcribed lectures through dynamic language modelling</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Computer Science. Retrieved from http://hdl.handle.net/11427/11050en_ZA
dc.identifier.chicagocitationMarquard, Stephen. <i>"Improving searchability of automatically transcribed lectures through dynamic language modelling."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Computer Science, 2012. http://hdl.handle.net/11427/11050en_ZA
dc.identifier.citationMarquard, S. 2012. Improving searchability of automatically transcribed lectures through dynamic language modelling. Masters’ Thesis. University of Cape Town.
dc.identifier.ris TY - Thesis / Dissertation AU - Marquard, Stephen AB - Recording university lectures through lecture capture systems is increasingly common. However, a single continuous audio recording is often unhelpful for users, who may wish to navigate quickly to a particular part of a lecture, or locate a specific lecture within a set of recordings. A transcript of the recording can enable faster navigation and searching. Automatic speech recognition (ASR) technologies may be used to create automated transcripts, to avoid the significant time and cost involved in manual transcription. DA - 2012 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2012 T1 - Improving searchability of automatically transcribed lectures through dynamic language modelling TI - Improving searchability of automatically transcribed lectures through dynamic language modelling UR - http://hdl.handle.net/11427/11050 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/11050
dc.identifier.vancouvercitationMarquard S. Improving searchability of automatically transcribed lectures through dynamic language modelling. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Computer Science, 2012 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/11050en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Computer Scienceen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherInformation Technologyen_ZA
dc.titleImproving searchability of automatically transcribed lectures through dynamic language modellingen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMPhilen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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