This Automatic Speech Recognition model for Northern Sámi (henceforth ”Sámi ASR model”) has been created at Aalto University. The model has been packaged into a container[2] at CSC, which may be used in the user’s preferred computing environment, and also in CSC’s Secure Desktop environment[3] for processing sensitive data.
The packaging process, which can be repurposed for other wav2vec models and/or models available via Huggingface[4] is documented in the Language Bank’s Github[5] repository.
[1] Sámi ASR model: https://huggingface.co/GetmanY1/wav2vec2-large-sami-cont-pt-22k-finetuned
[2] User guide: https://www.kielipankki.fi/tools/sami-asr/
[3] In SD Desktop the tool can be installed using the ”auto-apptainer” tool.
[4] https://en.wikipedia.org/wiki/Hugging_Face
[5] https://github.com/CSCfi/Kielipankki-utilities/tree/master/asr/apptainer
This resource group page has a Persistent Identifier: http://urn.fi/urn:nbn:fi:lb-2026091801
Last modified on 2026-09-22
