# Norwegian speech recognition

A lightweight and accelerated version of the Norwegian automatic speech recognition model developed by the National Library of Norway, reducing parameter count through distillation while maintaining transcription quality.

An automatic speech recognition model developed by the National Library of Norway, based on the OpenAI Whisper architecture, supporting transcription in Norwegian and English.

An automatic Norwegian speech recognition model launched by the National Library of Norway, developed based on OpenAI's Whisper architecture, supporting multiple Norwegian dialects and English.

An automatic speech recognition model developed by the National Library of Norway, based on the Whisper architecture, supporting speech transcription and translation of Norwegian and English.

A Nynorsk automatic speech recognition model fine-tuned based on Facebook/Meta's XLS-R feature extractor, achieving a WER of 11.32% on the NPSC test set.

This model is an automatic speech recognition (ASR) model fine-tuned on the Norwegian Bokmål dialect speech dataset based on facebook/wav2vec2-xls-r-1b

This model is an automatic speech recognition model fine-tuned on the NBAILAB/NPSC - 48K_MP3 dataset based on KBLab/wav2vec2-large-voxrex

This model is an automatic speech recognition (ASR) model fine-tuned on the NBAILAB/NPSC - 48K_MP3 dataset based on facebook/wav2vec2-xls-r-300m

This model is a speech recognition model fine-tuned on Norwegian Bokmål (NPSC dataset) based on facebook/wav2vec2-xls-r-300m, achieving a test set WER of 7.7%

This model is an automatic speech recognition model fine-tuned on the Norwegian Parliamentary Speech Corpus (NPSC) based on facebook/wav2vec2-xls-r-300m, supporting Norwegian speech-to-text tasks.

A 300M-parameter speech recognition model fine-tuned on the VoxRex feature extractor, optimized for Nynorsk (New Norwegian), achieving a WER of 12.22% on the NPSC test set

This is an automatic speech recognition model based on the wav2vec2 XLS-R architecture, specifically optimized for Norwegian Bokmål and trained on the NPSC dataset.

An automatic speech recognition model fine-tuned on the NBAILAB/NPSC - 16K_MP3 dataset based on KBLab/wav2vec2-large-voxrex

This is a large automatic speech recognition (ASR) model based on the wav2vec2 architecture, specifically trained for Norwegian written language (Bokmål).

This is an automatic speech recognition model based on the XLS-R architecture, specifically trained for Norwegian written language (Bokmål) and performs excellently on the NPSC dataset.

Norwegian automatic speech recognition model fine-tuned from VoxRex, achieving 7.03% word error rate on NPSC dataset

Norwegian automatic speech recognition model fine-tuned based on Facebook/Meta's XLS-R feature extractor, achieving a 6.33% word error rate on the NPSC test set

XLSR-1B-bokmaal-low is an automatic speech recognition (ASR) model focused on low-resource speech recognition tasks for Norwegian Bokmål.