Whispering in Norwegian: Navigating Orthographic and Dialectic Challenges
<|reference_start|>Whispering in Norwegian: Navigating Orthographic and Dialectic Challenges: This article introduces NB-Whisper, an adaptation of OpenAI's Whisper, specifically fine-tuned for Norwegian language Automatic Speech Recognition (ASR). We highlight its key contributions and summarise the results achieved in converting spoken Norwegian into written forms and translating other languages into Norwegian. We show that we are able to improve the Norwegian Bokm{\aa}l transcription by OpenAI Whisper Large-v3 from a WER of 10.4 to 6.6 on the Fleurs Dataset and from 6.8 to 2.2 on the NST dataset.<|reference_end|>
@article{kummervold2024whispering,
    title={Whispering in Norwegian: Navigating Orthographic and Dialectic
  Challenges},
    author={Per E Kummervold, Javier de la Rosa, Freddy Wetjen, Rolv-Arild
  Braaten, Per Erik Solberg},
    journal={arXiv preprint arXiv:2402.01917},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.01917},
    primaryClass={cs.CL}
}