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chcaa
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xls-r-300m-danish-nst-cv9

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Danish
wav2vec2
speech-to-text
Inference Endpoints
Model card Files Community
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  ## Performance
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  The table below shows the WER rate (greedy, no language model) of four different Danish ASR models on three publicly available datasets (lower is better).
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- |Model | [Alvenir](https://huggingface.co/datasets/Alvenir/alvenir_asr_da_eval)| [NST](https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-19/)| [CV9.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_9_0)|
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  |:--------------------------------------|------:|-----:|-----:|
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  |[Alvenir/wav2vec2-base-da-ft-nst](https://huggingface.co/Alvenir/wav2vec2-base-da-ft-nst) | 0.202| 0.099| 0.238|
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  |[chcaa/alvenir-wav2vec2-base-da-nst-cv9](https://huggingface.co/chcaa/alvenir-wav2vec2-base-da-nst-cv9) | 0.233| 0.126| 0.256|
 
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  ## Performance
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  The table below shows the WER rate (greedy, no language model) of four different Danish ASR models on three publicly available datasets (lower is better).
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+ |Model | [Alvenir](https://huggingface.co/datasets/Alvenir/alvenir_asr_da_eval)| [NST (greedy)](https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-19/)| [CV9.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_9_0)|
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  |:--------------------------------------|------:|-----:|-----:|
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  |[Alvenir/wav2vec2-base-da-ft-nst](https://huggingface.co/Alvenir/wav2vec2-base-da-ft-nst) | 0.202| 0.099| 0.238|
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  |[chcaa/alvenir-wav2vec2-base-da-nst-cv9](https://huggingface.co/chcaa/alvenir-wav2vec2-base-da-nst-cv9) | 0.233| 0.126| 0.256|