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.