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--- |
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language: |
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- da |
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license: other |
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tasks: |
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- automatic-speech-recognition |
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datasets: |
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- ftspeech |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-xls-r-300m-ftspeech |
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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: 17.91 |
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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: 13.84 |
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--- |
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# XLS-R-300m-FTSpeech |
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## Model description |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the [FTSpeech dataset](https://ftspeech.github.io/), being a dataset of 1,800 hours of transcribed speeches from the Danish parliament. |
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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) | 20.48 | 17.91 | |
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| [Alvenir test set](https://huggingface.co/datasets/Alvenir/alvenir_asr_da_eval) | 15.46 | 13.84 | |
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## License |
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The use of this model needs to adhere to [this license from the Danish Parliament](https://www.ft.dk/da/aktuelt/tv-fra-folketinget/deling-og-rettigheder). |
