Samrómur Icelandic Speech 1.0
| Item Name: | Samrómur Icelandic Speech 1.0 |
| Author(s): | David Mollberg, Ólafur Helgi Jónsson, Sunneva Þorsteinsdóttir, Jóhanna Vigdís Guðmundsdóttir, Steinthor Steingrimsson, Eydis Huld Magnusdottir, Judy Fong, Michal Borsky, Jon Gudnason |
| LDC Catalog No.: | LDC2022S05 |
| ISBN: | 1-58563-991-5 |
| ISLRN: | 643-778-441-472-4 |
| DOI: | https://doi.org/10.35111/thx3-f170 |
| Release Date: | May 16, 2022 |
| Member Year(s): | 2022 |
| DCMI Type(s): | Sound, Text |
| Sample Type: | flac |
| Sample Rate: | 16000 |
| Data Source(s): | web collection |
| Application(s): | speaker identification, speaker verification, speech recognition |
| Language(s): | Icelandic |
| Language ID(s): | isl |
| License(s): |
Samrómur Icelandic Speech 1.0 Agreement (For-Profit) Samrómur Icelandic Speech 1.0 Agreement (Non-Member) Samrómur Icelandic Speech 1.0 Agreement (Not-For-Profit) |
| Online Documentation: | LDC2022S05 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Mollberg, David, et al. Samrómur Icelandic Speech 1.0 LDC2022S05. Web Download. Philadelphia: Linguistic Data Consortium, 2022. |
| Related Works: | View |
Introduction
Samrómur Icelandic Speech 1.0 was developed by the Language and Voice Lab, Reykjavik University in cooperation with Almannarómur, Center for Language Technology. The corpus contains 145 hours of Icelandic prompted speech from 8,392 speakers representing 100,000 utterances.
This version 1.0 is equivalent to "Samrómur Icelandic Speech 21.05" as used by the Language Technology Programme for Icelandic 2019-2023.
Data
Speech data was collected between October 2019 and May 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 or a demand. 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, 16 kHz, 16-bit linear PCM.
Samples
Please view this audio sample (FLAC).
Updates
None at this time.