Ravnur — Open Faroese Speech-Recognition Resources Built from 135 Hours of Dialect-Balanced Recordings
Faroe Islands
Faroese ASR project recorded 135 hours from 433 speakers across all dialects and released open resources (CC BY 4.0); a …
Iceland · Reykjavik · See the Iceland profile · See the Reykjavik profile
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A five-year national programme building open-source Icelandic speech recognition, synthesis, machine translation and spell-check so a ~small language stays usable in digital services. Outputs are verifiable; user-level impact is not yet evaluated.
Iceland's Language Technology Programme for Icelandic 2019–2023, coordinated by Almannarómur and funded by the Ministry of Education, Science and Culture, aims to make Icelandic usable for communication and interaction in the digital world through open, accessible language resources and software.
It comprises five core projects: language resources, speech recognition, speech synthesis, machine translation, and spell and grammar checking, delivered by a consortium of universities, institutions and private companies (Nikulásdóttir et al., LREC 2020).
A verifiable output is the Samrómur corpus (SLR112, released May 2021): about 145 hours and 100,000 validated utterances from 8,392 crowd-sourced speakers, built by Reykjavik University's Language and Voice Lab with Almannarómur and released under CC BY 4.0.
Caveat: the sources document the programme design and open resources, not outcomes for end users (e.g. accessibility gains for people with disabilities or migrants learning Icelandic). Evidence is therefore of outputs, not of impact.
Read the full analysis: https://openslr.org/112/
Implementation detail (cost, timeline, staffing, conditions for success) is not yet available for this practice.
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Where this practice's information was retrieved from, and when.
Faroe Islands
Faroese ASR project recorded 135 hours from 433 speakers across all dialects and released open resources (CC BY 4.0); a …
Norway
Since 2004, Norway's Divvun and Giellatekno research groups at UiT have built keyboards, spellcheckers and machine translation for all eight …
Rwanda
Kigali-based Digital Umuganda crowdsourced one of the largest open Kinyarwanda voice datasets (1,700+ hours from 840+ contributors) via Mozilla Common …
United States of America
UIUC-led, with five tech firms and advocacy groups, SAP collects consented speech from people with disabilities. Fine-tuning on 151 hours …
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