Dataset Card for samromur_asr

Dataset Summary

This is a modfied copy of the dataset from The Language and Voice Laboratory in RU.

This is the first release of the Samrómur Icelandic Speech corpus that contains 100.000 validated utterances.

The corpus is a result of the crowd-sourcing effort run by the Language and Voice Lab at the Reykjavik University, in cooperation with Almannarómur, Center for Language Technology.

Languages

The audio is in Icelandic. The reading prompts were gathered from a variety of sources, mainly from the Icelandic Gigaword Corpus. The corpus includes text from novels, news, plays, and from a list of location names in Iceland. The prompts also came from the Icelandic Web of Science.

Dataset Structure

Data Splits

The corpus is split into train, validation, and test subsets with no speaker overlap. Each subset contains folders that correspond to speaker IDs, and the audio files inside use the following naming convention: {speaker_ID}-{utterance_ID}.flac. Lenghts of each portion are: train=114h/34m, test=15h51m, validation=15h16m.

To load an specific portion please see the above section "Example Usage".

Source Data

Initial Data Collection and Normalization

• The utterances were recorded by a smartphone or the web app.

• The data was collected using the website https://samromur.is, code of which is available at https://github.com/cadia-lvl/samromur.

• Each recording contains one read sentence from a script.

• The script contains 85.080 unique sentences and 90.838 unique tokens.

Discussion of Biases

• The participants are aged between 18 to 90, 59,782 recordings are from female speakers and 40,218 are from male, recorded by a smartphone or the web app.

• Participants self-reported their age group, gender, and the native language.

• The corpus contains 100 000 utterance from 8392 speaker, totalling 145 hours.

Dataset Curators

The corpus is a result of the crowd-sourcing effort run by the Language and Voice Lab at the Reykjavik University, in cooperation with Almannarómur, Center for Language Technology.

Licensing Information

CC-BY-4.0

Citation Information

@inproceedings{mollberg-etal-2020-samromur,
    title = "{S}amr{\'o}mur: Crowd-sourcing Data Collection for {I}celandic Speech Recognition",
    author = "Mollberg, David Erik  and
      J{\'o}nsson, {\'O}lafur Helgi  and
      {\TH}orsteinsd{\'o}ttir, Sunneva  and
      Steingr{\'\i}msson, Stein{\th}{\'o}r  and
      Magn{\'u}sd{\'o}ttir, Eyd{\'\i}s Huld  and
      Gudnason, Jon",
    booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.lrec-1.425",
    pages = "3463--3467",
    language = "English",
    ISBN = "979-10-95546-34-4",
}

Contributions

This project was funded by the Language Technology Programme for Icelandic 2019-2023. The programme, which is managed and coordinated by Almannarómur, is funded by the Icelandic Ministry of Education, Science and Culture.

The verification for the dataset was funded by the the Icelandic Directorate of Labour's Student Summer Job Program.

Special thanks for the summer students for all the hard work.