ASR database ARTUR 1.0 (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/11356/1776

 Project URL

https://rsdo.slovenscina.eu/en/speech-technologies

 Date issued

2023-02-27

 Type

audio, corpus

 Size

1067 hours

 Language(s)

Slovenian

 Description

Artur 1.0 is a speech database designed for the needs of automatic speech recognition for the Slovenian language. The database includes 1,067 hours of speech. 884 hours are transcribed, while the remaining 183 hours are recordings only. This repository entry includes audio files only, the transcriptions are available on http://hdl.handle.net/11356/1772. The data are structured as follows: (1) Artur-B, read speech, 573 hours in total. It includes: (1a) Artur-B-Brani, 485 hours: Readings of sentences which were pre-selected from a 10% increment in the Gigafida 2.0 corpus. The sentences were chosen in such a way that they reflect the natural or the actual distribution of triphones in the words. They were distributed between 1,000 speakers, so that we recorded approx. 30 min in read form from each speaker. The speakers were balanced according to gender, age, region, and a small proportion of speakers were non-native speakers of Slovene. Each sentence is its own audio file and has a corresponding transcription file. (1b) Artur-B-Crkovani, 10 hours: Spellings. Speakers were asked to spell abbreviations and personal names and surnames, all chosen so that all Slovene letters were covered, plus the most common foreign letters. (1c) Artur-B-Studio, 51 hours: Designed for the development of speech synthesis. The sentences were read in a studio by a single speaker. Each sentence is its own audio file and has a corresponding transcription file. (1d) Artur-B-Izloceno, 27 hours: The recordings include different types of errors, typically, incorrect reading of sentences or a noisy environment. (2) Artur-J, public speech, 62 hours in total. It includes: (2a) Artur-J-Splosni, 62 hours: media recordings, online recordings of conferences, workshops, education videos, etc. (3) Artur-N, private speech, 74 hours in total. It includes: (3a) Artur-N-Obrazi, 6 hours: Speakers were asked to describe faces on pictures. Designed for a face-description domain-specific speech recognition. (3b) Artur-N-PDom, 7 hours: Speakers were asked to read pre-written sentences, as well as to express instructions for a potential smart-home system freely. Designed for a smart-home domain-specific speech recognition. (3c) Artur-N-Prosti, 61 hours: Monologues and dialogues between two persons, recorded for the purposes of the Artur database creation. Speakers were asked to conversate or explain freely on casual topics. (4) Artur-P, parliamentary speech, 201 hours in total. It includes: (4a) Artur-P-SejeDZ, 201 hours: Speech from the Slovene National Assembly. Further information on the database are available in the Artur-DOC file, which is part of this repository entry.

 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

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