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--- |
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language: |
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- da |
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license: cc0-1.0 |
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tasks: |
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- automatic-speech-recognition |
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datasets: |
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- common_voice_8_0 |
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metrics: |
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- wer |
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model-index: |
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- name: kblab-voxrex-wav2vec2-large-cv8-da |
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results: |
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- task: |
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type: automatic-speech-recognition |
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dataset: |
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type: mozilla-foundation/common_voice_8_0 |
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args: da |
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name: Danish Common Voice 8.0 |
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metrics: |
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- type: wer |
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value: 30.51 |
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- task: |
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type: automatic-speech-recognition |
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dataset: |
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type: Alvenir/alvenir_asr_da_eval |
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name: Alvenir ASR test dataset |
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metrics: |
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- type: wer |
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value: 28.33 |
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--- |
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# KBLab-VoxRex-Wav2vec2-large-CV8-da |
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## Model description |
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This model is a fine-tuned version of the Swedish acoustic model [KBLab/wav2vec2-large-voxrex](https://huggingface.co/KBLab/wav2vec2-large-voxrex) on the Danish part of [Common Voice 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0), containing ~6 crowdsourced hours of read-aloud Danish speech. |
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## Performance |
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The model achieves the following WER scores (lower is better): |
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| **Dataset** | **WER without LM** | **WER with 5-gram LM** | |
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| :---: | ---: | ---: | |
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| [Danish part of Common Voice 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0/viewer/da/train) | 37.63 | 30.51 | |
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| [Alvenir test set](https://huggingface.co/datasets/Alvenir/alvenir_asr_da_eval) | 35.75 | 28.33 | |
