Eydís Huld Magnúsdóttir


Samrómur: Crowd-sourcing Data Collection for Icelandic Speech Recognition
David Erik Mollberg | Ólafur Helgi Jónsson | Sunneva Þorsteinsdóttir | Steinþór Steingrímsson | Eydís Huld Magnúsdóttir | Jon Gudnason
Proceedings of the Twelfth Language Resources and Evaluation Conference

This contribution describes 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. The goal of the project is to build a large-scale speech corpus for Automatic Speech Recognition (ASR) for Icelandic. Upon completion, Samrómur will be the largest open speech corpus for Icelandic collected from the public domain. We discuss the methods used for the crowd-sourcing effort and show the importance of marketing and good media coverage when launching a crowd-sourcing campaign. Preliminary results exceed our expectations, and in one month we collected data that we had estimated would take three months to obtain. Furthermore, our initial dataset of around 45 thousand utterances has good demographic coverage, is gender-balanced and with proper age distribution. We also report on the task of validating the recordings, which we have not promoted, but have had numerous hours invested by volunteers.