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This wav2vec2-base model has been pretrained on ~1300 hours of danish speech data. The pretraining data consists of podcasts and audiobooks and is unfortunately not public available. However, we are allowed to distribute the pretrained model.
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The pre-training was done using the fairseq library in January 2021.
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This wav2vec2-base model has been pretrained on ~1300 hours of danish speech data. The pretraining data consists of podcasts and audiobooks and is unfortunately not public available. However, we are allowed to distribute the pretrained model.
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The pre-training was done using the fairseq library in January 2021.
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It needs to be fine-tuned in order to perform speech recognition.
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