31 citations · 36 across the 2 of their papers we have counts for
2 papers
cs.CL2022★ 5 cited
Hearing voices at the National Library -- a speech corpus and acoustic model for the Swedish language
Martin Malmsten, Chris Haffenden, Love Börjeson
This paper explains our work in developing new acoustic models for automated speech recognition (ASR) at KBLab, the infrastructure for data-driven research at the National Library…
cs.CL2020★ 31 cited
Playing with Words at the National Library of Sweden -- Making a Swedish BERT
Martin Malmsten, Love Börjeson, Chris Haffenden
This paper introduces the Swedish BERT ("KB-BERT") developed by the KBLab for data-driven research at the National Library of Sweden (KB). Building on recent efforts to create tran…