Improving searchability of automatically transcribed lectures through dynamic language modelling

 

Show simple item record

dc.contributor.advisor Mbogho, Audrey J W en_ZA
dc.contributor.author Marquard, Stephen en_ZA
dc.date.accessioned 2015-01-02T09:26:51Z
dc.date.available 2015-01-02T09:26:51Z
dc.date.issued 2012 en_ZA
dc.identifier.citation Marquard, S. 2012. Improving searchability of automatically transcribed lectures through dynamic language modelling. Masters’ Thesis. University of Cape Town.
dc.identifier.uri http://hdl.handle.net/11427/11050
dc.description.abstract 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. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Information Technology en_ZA
dc.title Improving searchability of automatically transcribed lectures through dynamic language modelling en_ZA
dc.type Master Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Computer Science en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MPhil en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Marquard, 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/11427/11050 en_ZA
dc.identifier.chicagocitation Marquard, 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/11427/11050 en_ZA
dc.identifier.vancouvercitation Marquard 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/11427/11050 en_ZA
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


Files in this item

This item appears in the following Collection(s)

Show simple item record