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 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.

Grantor dc:publisher.institution

Department of Computer Science

Year dc:date.issued

2012

Author dc:creator

• Marquard, Stephen

Advisor dc:contributor.advisor

• Mbogho, Audrey J W

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/11050

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/11050