ASR database ARTUR 0.1 (audio)

  Authors

Verdonik, Darinka ; et al.show everyone

Verdonik, Darinka ; Bizjak, Andreja ; Žgank, Andrej ; Bernjak, Mitja ; Antloga, Špela ; Majhenič, Simona ; Čakš, Peter ; Pucer, Matevž ; Cvetko, Mitja ; Zelenik, Marijana ; Pavlič, Jani ; Dobrišek, Simon ; Križaj, Janez ; Strle, Gregor ; Ivanovska, Marija ; Grm, Klemen ; Bajec, Marko ; Lebar Bajec, Iztok ; Jelovšek, Tjaša ; Lokovšek, Jure ; Longyka, Jure ; Trojar, Mitja ; Žganec Gros, Jerneja ; Mihelič, Aleš ; Vesnicer, Boštjan ; Dretnik, Naum ; Bordon, David

  Item identifier

http://hdl.handle.net/11356/1717

 Project URL

https://slovenscina.eu/

 Date issued

2022-12-01

 Type

audio, corpus

 Size

1035 hours

 Language(s)

Slovenian

 Description

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 Gigafida 2.0 corpus (http://hdl.handle.net/11356/1320); 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. Audio files are WAV 44,1 kHz, pcm, 16-bit, mono. This entry includes the recordings only; transcriptions are available at http://hdl.handle.net/11356/1718.

 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

 

Alpineon d.o.o.

 

STA

 Acknowledgement

Ministry of Culture C3340-20-278001 "Development of Slovene in a Digital Environment"

 Subject(s)

speech database automatic speech recognition spoken language spoken corpus

 Collection(s)

CLARIN.SI data & tools

 

This item is replaced by a newer submission:

http://hdl.handle.net/11356/1776

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