Spoken corpus Gos VideoLectures 4.1 (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/11356/1439

 URL projekta

https://www.clarin.si/info/services/projects/#Gos_Videolectures_II

 Datum objave

2021-06-21

 Vrsta

corpus, text

 Velikost

55 texts, 1872 utterances, 11260 sentences, 170830 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. It can be used for training continuous speech recognition for Slovene language, for phonetic research or any other research of Slovene academic speech. The 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, while the 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 TRS zip also contains files with automatically produced word and phone-level alignment with the speech signal, as well as the annotation guidelines (in Slovenian). The TEI and vertical encodings join the two transcriptions at the token level, with the normalised words also linguistically annotated. The annotiations comprise the word lemma, the MULTEXT-East MSDs and the Universal dependencies morphological features. As opposed to version 4.0, this version uses the CLASSLA tool (https://github.com/clarinsi/classla) for linguistic annotation and changes the TEI encoding of the normalised words.

 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/11356/1444

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