Samrómur Queries Icelandic Speech 1.0 ...
Samrómur Queries Icelandic Speech 1.0 (LDC2023S05) was developed by the Language and Voice Lab, Reykjavik University in cooperation with Almannarómur, Center for Language Technology. The corpus contains 20 hours of Icelandic prompted queries from 3,809 speakers representing 17,475 utterances. This v...
| Main Authors: | , , , , , , , , |
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| Format: | Dataset |
| Language: | unknown |
| Published: |
Linguistic Data Consortium
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.35111/aq18-1540 https://catalog.ldc.upenn.edu/LDC2023S05 |
| Summary: | Samrómur Queries Icelandic Speech 1.0 (LDC2023S05) was developed by the Language and Voice Lab, Reykjavik University in cooperation with Almannarómur, Center for Language Technology. The corpus contains 20 hours of Icelandic prompted queries from 3,809 speakers representing 17,475 utterances. This version 1.0 is equivalent to "Samrómur Queries Icelandic Speech 21.12" as used by the Language Technology Programme for Icelandic 2019-2023. Speech data was collected between October 2019 and December 2021 using the Samrómur website which displayed prompts to participants. The prompts were mainly from The Icelandic Gigaword Corpus, which includes text from novels, news, plays, and from a list of location names in Iceland. Additional prompts were taken from the Icelandic Web of Science and others were created by combining a name followed by a question. Prompts and speaker metadata are included in the corpus. The audio data is divided into train, dev, and test sets and is presented as flac compressed, single channel, ... |
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