2026-04-05T18:33:30Zhttp://www.clarin.si/repository/oai/request

oai:www.clarin.si:11356/11902023-03-27T17:01:19Zhdl_11356_1023hdl_11356_1024

Spoken corpus Gos VideoLectures 3.0 (transcription) Verdonik, Darinka Potočnik, Tomaž Sepesy Maučec, Mirjam Erjavec, Tomaž speech database spoken corpus academic speech speech transcription speech recognition TEI Gos VideoLectures is an add-on to the Gos reference corpus of spoken Slovene (http://hdl.handle.net/11356/1040), and covers public academic speech. The Gos VideoLectures corpus contains a selection of public lectures available through the web portal Videolectures.net provided by the Jožef Stefan Institute, and covers 37 lectures and 16 hours of speech. This resource contains only annotated transcriptions of the corpus – audio recordings are available at http://hdl.handle.net/11356/1189. All transcriptions for Gos VideoLectures were done manually and carefully checked. The main guidelines for transcription were those of the Gos corpus (http://www.korpus-gos.net/Support/About). The transcription tool Transcriber 1.5.1 (http://trans.sourceforge.net/en/presentation.php) was used for making transcriptions. It can be also used for reading or exporting transcriptions (.trs files) to different formats. The transcriptions comprise the TRS files with tabular metadata, their conversion to TEI and to the CWB vertical file format. Each recording has two TRS files, one with pronunciation-based and the other with the standardised/normalised transcription. The TEI and CWB encodings join these two transcriptions at the token level, with the normalised words being also automatically PoS tagged and lemmatised. The corpus can be used for training continuous speech recognition for Slovene language, for phonetic research or any other research of Slovene academic speech. 2018-08-01 corpus http://hdl.handle.net/11356/1190 slv http://hdl.handle.net/11356/1158 http://hdl.handle.net/11356/1223 Creative Commons - Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ PUB application/zip application/zip application/zip text/plain; charset=utf-8 downloadable_files_count: 3 Faculty of Electrical Engineering and Computer Science, University of Maribor