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language: da |
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tags: |
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- speech |
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license: apache-2.0 |
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--- |
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# Wav2vec2-base for Danish |
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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 were allowed to distribute the pretrained model. |
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This model was pretrained on 16kHz sampled speech audio. When using the model, make sure to use speech audio sampled at 16kHz. |
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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 to perform speech recognition. |
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# Finetuning |
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In order to finetune the model to speech recognition, you can draw inspiration from this [notebook tutorial](https://colab.research.google.com/drive/1FjTsqbYKphl9kL-eILgUc-bl4zVThL8F) or [this blog post tutorial](https://huggingface.co/blog/fine-tune-xlsr-wav2vec2). |
