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Nb Wav2vec2 300m Bokmaal

Developed by NbAiLab
Norwegian automatic speech recognition model fine-tuned from VoxRex, achieving 7.03% word error rate on NPSC dataset
Downloads 86
Release Time : 3/2/2022

Model Overview

This is an automatic speech recognition model optimized for Bokmål (Norwegian written language), based on 300M-parameter Wav2Vec2 architecture, fine-tuned on Norwegian parliamentary speech corpus

Model Features

High-performance speech recognition
Achieves 7.03% word error rate (WER) and 2.69% character error rate (CER) on NPSC test set
Language model integration
Supports 5-gram KenLM language model integration, significantly improving recognition accuracy
Efficient training
The model has moderate computational requirements and can be trained within one day using standard GPUs

Model Capabilities

Norwegian speech-to-text
High-accuracy speech recognition
Supports language model enhancement

Use Cases

Government & Public Services
Parliamentary record transcription
Automatically transcribe Norwegian parliamentary meeting recordings
Achieves 92.97% accuracy
Education
Speech learning assistance
Used for pronunciation evaluation and transcription for Norwegian language learners
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