Spoken corpus Gos VideoLectures 4.0 (transcription)

  Avtorji

Verdonik, Darinka ; et al.prikaži vse

Verdonik, Darinka ; Potočnik, Tomaž ; Sepesy Maučec, Mirjam ; Erjavec, Tomaž ; Majhenič, Simona ; Žgank, Andrej

  Identifikator vnosa

http://hdl.handle.net/11356/1223

 Datum objave

2019-03-26

 Vrsta

corpus, text

 Velikost

55 texts, 1872 utterances, 11273 sentences, 178751 words

 Jezik(i)

Slovenian

 Opis

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 55 lectures and 22 hours of speech. This resource contains only annotated transcriptions of the corpus – audio recordings are available at http://hdl.handle.net/11356/1222. The 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 vertical file format (as used e.g. by Sketch Engine). 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 TRS pack also contains files with automatically produced word and phone-level alignment with the speech signal. The corpus can be used for training continuous speech recognition for Slovene language, for phonetic research or any other research of Slovene academic speech.

 Izdajatelj

Faculty of Electrical Engineering and Computer Science, University of Maribor

 Zahvala

Republic of Slovenia, Ministry of Culture 3340-15-141005 "Project Gos Videolectures"

Jožef Stefan Institute CLARIN "CLARIN.SI"

 Ključne besede

speech database spoken corpus academic speech speech transcription speech recognition TEI

 Zbirke

CLARIN.SI data & tools

 

Ta vnos je bil nadomeščen z novejšim.

http://hdl.handle.net/11356/1439

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