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Improving searchability of automatically transcribed lectures through dynamic language modelling
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 o...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2015
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| _version_ | 1867611287411752960 |
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| access_status_str | Open Access |
| author | Marquard, Stephen |
| author2 | Mbogho, Audrey J W |
| author_browse | Marquard, Stephen Mbogho, Audrey J W |
| author_facet | Mbogho, Audrey J W Marquard, Stephen |
| author_sort | Marquard, Stephen |
| collection | Thesis |
| description | 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. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/11050 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Computer Science |
| publisherStr | Department of Computer Science |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/11050 Improving searchability of automatically transcribed lectures through dynamic language modelling Marquard, Stephen Mbogho, Audrey J W Information Technology 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. 2015-01-02T09:26:51Z 2015-01-02T09:26:51Z 2012 Master Thesis Masters MPhil http://hdl.handle.net/11427/11050 eng application/pdf Department of Computer Science Faculty of Science University of Cape Town |
| spellingShingle | Information Technology Marquard, Stephen Improving searchability of automatically transcribed lectures through dynamic language modelling |
| thesis_degree_str | Master's |
| title | Improving searchability of automatically transcribed lectures through dynamic language modelling |
| title_full | Improving searchability of automatically transcribed lectures through dynamic language modelling |
| title_fullStr | Improving searchability of automatically transcribed lectures through dynamic language modelling |
| title_full_unstemmed | Improving searchability of automatically transcribed lectures through dynamic language modelling |
| title_short | Improving searchability of automatically transcribed lectures through dynamic language modelling |
| title_sort | improving searchability of automatically transcribed lectures through dynamic language modelling |
| topic | Information Technology |
| url | http://hdl.handle.net/11427/11050 |
| work_keys_str_mv | AT marquardstephen improvingsearchabilityofautomaticallytranscribedlecturesthroughdynamiclanguagemodelling |