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Wav2vec2 1b Npsc Nst Bokmaal

Developed by NbAiLab
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
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Release Time : 5/23/2022

Model Overview

A speech recognition model optimized for the Norwegian Bokmål dialect, fine-tuned on the wav2vec2-xls-r-1b architecture with high recognition accuracy

Model Features

High Accuracy
Achieves a low word error rate (WER) of 0.0345 on the evaluation set
Large-scale Pretraining
Fine-tuned based on the 1-billion-parameter large-scale wav2vec2-xls-r model
Norwegian Optimization
Specifically optimized for the Norwegian Bokmål dialect

Model Capabilities

Norwegian speech recognition
Speech-to-text conversion
Audio content understanding

Use Cases

Speech Transcription
Norwegian Meeting Minutes
Automatically transcribe Norwegian meeting recordings into text records
Highly accurate transcription results
Voice Assistant
Provide speech recognition capabilities for Norwegian voice assistants
Education
Language Learning Applications
Help learners practice Norwegian pronunciation and listening
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