ASR database ARTUR 1.0 (transcriptions)

  Authors

Verdonik, Darinka ; et al.show everyone

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 ; Erjavec, Tomaž ; Bernjak, Mitja ; Žganec Gros, Jerneja ; Čakš, Peter ; Pucer, Matevž ; Cvetko, Mitja ; Pavlič, Jani ; Zelenik, Marijana ; Ivanovska, Marija ; Grm, Klemen ; Longyka, Jure ; Mihelič, Aleš ; Vesnicer, Boštjan ; Dretnik, Naum

  Item identifier

http://hdl.handle.net/11356/1772

 Project URL

https://slovenscina.eu/

 Date issued

2023-02-22

 Type

corpus, text

 Size

884 hours

 Language(s)

Slovenian

 Description

Artur 1.0 is a speech database designed for the needs of developing automatic speech recognition for the Slovenian language. The complete database includes 1,067 hours of speech, of which 884 hours are transcribed, while the remaining 183 hours are recordings only. This repository entry includes transcriptions only, while the audio files are available on http://hdl.handle.net/11356/1776. Transcriptions are available in the original TRS format of the Transcriber 1.5.1 tool which was used for making the transcriptions. All transcriptions were made manually or manually corrected. 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 transcription file and has a corresponding audio 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. The transcriptions were corrected manually. (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 transcription file and has a corresponding recording. (1d) Artur-B-Izloceno, 27 hours: in trs format only. The recordings that correspond to these transcriptions 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: manual transcriptions of media recordings, online recordings of conferences, workshops, education videos, etc. Transcriptions were made in two modes: - 'pog' files include the pronunciation-based or citation-phonemic transcriptions (containing the output phoneme string derived from the orthographic form by letter-to-sound rules) - 'std' files include standardised or expanded orthographic transcriptions (the standard Slovenian spelling is used to indicate the spoken words, but there are additional rules and word-lists for non-standard lexis) (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. The manual transcriptions were done in two modes, the same as for Artur-J. (4) Artur-P, parliamentary speech, 201 hours in total. It includes: (4a) Artur-P-SejeDZ, 201 hours: Transcriptions of speech from the Slovene National Assembly. Manual transcriptions were done in two modes, the same as for Artur-J. Further information on the database, including various statistics, are available in the Artur-DOC directory, which is part of Artur_1.0_TRS.

 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

 Acknowledgement

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

 Subject(s)

speech database spoken language spoken corpus automatic speech recognition

 Collection(s)

CLARIN.SI data & tools

 Other versions

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