ASR database ARTUR 0.1 (transcriptions)

PID

ARTUR is a speech database designed for the needs of automatic speech recognition for the Slovenian language. The database includes 1,035 hours of speech, although only 840 hours are transcribed, while the remaining 195 hours are without transcription.

The data is divided into 4 parts: (1) approx. 520 hours of read speech, which includes the reading of pre-defined sentences, selected from the corpus Gigafida; each sentence is contained in one file; speakers are demographically balanced; spelling is included in special files; all with manual transcriptions; (2) approx. 204 hours of public speech, which includes media recordings, online recordings of conferences, workshops, education videos, etc.; 56 hours are manually transcribed; (3) approx. 110 hours of private speech, which includes monologues and dialogues between two persons, recorded for the purposes of the speech database; the speakers are demographically balanced; two subsets for domain-specific ASR (i.e., smart-home and face-description) are included; 63 hours are manually transcribed; (4) approx. 201 hours of parliamentary speech, which includes recordings from the Slovene National Assembly, all with manual transcriptions.

This repository entry includes transcriptions in Transcriber 1.5.1 TRS format only; audio recordings are available at http://hdl.handle.net/11356/1717.

Identifier
PID http://hdl.handle.net/11356/1718
Related Identifier http://hdl.handle.net/11356/1772
Related Identifier https://slovenscina.eu/
Metadata Access http://www.clarin.si/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:www.clarin.si:11356/1718
Provenance
Creator Verdonik, Darinka; Bizjak, Andreja; Sepesy Maučec, Mirjam; Gril, Lucija; Dobrišek, Simon; Križaj, Janez; Strle, Gregor; Bajec, Marko; Lebar Bajec, Iztok; Jelovšek, Tjaša; Lokovšek, Jure; Trojar, Mitja
Publisher Faculty of Electrical Engineering and Computer Science, University of Maribor; Faculty of Electrical Engineering, University of Ljubljana; Faculty of Computer and Information Science, University of Ljubljana; ZRC SAZU
Publication Year 2022
Rights Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0); https://creativecommons.org/licenses/by-sa/4.0/; PUB
OpenAccess true
Contact info(at)clarin.si
Representation
Language Slovenian; Slovene
Resource Type corpus
Format text/plain; charset=utf-8; application/octet-stream; text/plain; downloadable_files_count: 2
Discipline Linguistics