Papers by David Erik Mollberg

3 papers
Samrómur: Crowd-sourcing large amounts of data (2022.lrec-1)

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Challenge: Samrómur is the largest prompted speech collection effort for Icelandic so far and verification is as monumental as the collection itself.
Approach: They propose to collect large and diverse corpus for automatic speech recognition and similar tools using crowd-sourced donations.
Outcome: The collected utterances are based on the Mozilla Common Voice platform and are available for free on the Samrómur collection platform.
Samrómur: Crowd-sourcing Data Collection for Icelandic Speech Recognition (2020.lrec-1)

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Challenge: Samrómur is a web application built upon Mozilla Foundation’s open-source voice collection platform Common Voice.
Approach: They describe an ongoing project of speech data collection using the web application Samrómur which is built upon Common Voice, Mozilla Foundation’s web platform for open-source voice collection.
Outcome: The proposed system will be the largest open speech corpus for Icelandic collected from the public domain.
Samrómur Children: An Icelandic Speech Corpus (2022.lrec-1)

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Challenge: Samrómur Children contains 131 hours of read speech from Icelandic children aged between 4 to 17 years.
Approach: They propose to build a large-scale speech corpus for automatic speech recognition for Icelandic.
Outcome: The corpus contains 131 hours of read speech from Icelandic children aged 4 to 17 years . the goal of the project is to make Icelandic available in language-technology applications .

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