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Nb Whisper Base

Developed by NbAiLab
An automatic speech recognition model developed by the National Library of Norway, based on the OpenAI Whisper architecture, supporting transcription in Norwegian and English.
Downloads 1,629
Release Time : 2/13/2024

Model Overview

NB-Whisper Base is the basic version of the speech recognition model series developed by the National Library of Norway, optimized for automatic speech recognition (ASR) tasks in Norwegian and English.

Model Features

Norwegian optimization
Specifically trained and optimized for Norwegian and its dialects (Bokmål and Nynorsk).
Multiple size options
Provides five different model versions from Tiny to Large to meet different computing requirements.
Verbatim transcription option
Provides two output styles, standard and verbatim, to meet different transcription needs.
Speaker separation support
Can be integrated with tools such as WhisperX to achieve speaker separation functionality.

Model Capabilities

Norwegian speech recognition
English speech recognition
Long audio segmentation processing
Timestamp generation
Speaker separation (requires cooperation with other tools)

Use Cases

Media transcription
Radio program transcription
Convert Norwegian radio programs into text records.
Supports subtitle conversion for NRK TV broadcasts.
Meeting minutes
Automatically generate text records of meeting speeches.
Supports speaker separation and timestamp marking.
Educational research
Linguistic research
Analyze Norwegian dialects and variants.
Provides verbatim transcription options for language analysis.
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