mlsanityData to 14 Oct 2026

Whispering in Norwegian: Navigating Orthographic and Dialectic Challenges

arXiv 2402.01917 ↗First posted 2 Feb 2024cs.CLcited by 4

Not on the map. Why?

Abstract (arXiv)

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 Bokmaal 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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 6 of its 19 references that are in the map. First posted on arXiv 2 Feb 2024.

Builds on

6 of 19 references.

References · 6

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
  2. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
  3. 2022FLEURS: Few-shot Learning Evaluation of Universal Representations of Speechcited by 469
  4. 2023Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labellingcited by 90
  5. 2021Operationalizing a National Digital Library: The Case for a Norwegian Transformer Modelcited by 23
  6. 2023Boosting Norwegian Automatic Speech Recognitioncited by 2

Built on by

Cited by year

Citing papers per year: 2025: 4.

4 papers.

  1. 2025A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Datacited by 7
  2. 2025Whispering in Amharic: Fine-tuning Whisper for Low-resource Languagecited by 5
  3. 2025Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participationcited by 3
  4. 2025Swedish Whispers; Leveraging a Massive Speech Corpus for Swedish Speech Recognitioncited by 0