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--- |
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language: |
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- da |
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license: cc-by-nc-4.0 |
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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: voxpopuli-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: 40.54 |
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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: 40.66 |
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--- |
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# VoxPopuli-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 [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) 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) | 48.04 | 40.54 | |
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| [Alvenir test set](https://huggingface.co/datasets/Alvenir/alvenir_asr_da_eval) | 48.43 | 40.66 | |
