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roest-wav2vec2-1B-v2

Automatic Speech Recognition
Safetensors
Danish
wav2vec2
Eval Results
Model card Files Community
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  1. README.md +11 -11
README.md CHANGED
@@ -105,7 +105,7 @@ The model was also evaluated on a tentative pre-release of the coral-v2 conversa
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  | [CoRal-project/roest-wav2vec2-1B-v2](https://huggingface.co/CoRal-project/roest-wav2vec2-1B-v2) | 1B | Read-aloud and conversation | 23.9% | 36.7% |
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  | [CoRal-project/roest-wav2vec2-315M-v2](https://huggingface.co/CoRal-project/roest-wav2vec2-315m-v2) | 315M | Read-aloud and conversation | 24.2% | 37.7% |
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  | [CoRal-project/roest-whisper-large-v1](https://huggingface.co/CoRal-project/roest-whisper-large-v1) | 1540M | Read-aloud | 138% | 121% |
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- | [alexandrainst/roest-wav2vec2-315M-v1](https://huggingface.co/alexandrainst/roest-315m) | 315M | Read-aloud | 123% | 80.5% |
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  ### Detailed evaluation across demographics on the CoRal test data
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  <img src="https://huggingface.co/CoRal-project/roest-wav2vec2-1B-v2/resolve/main/images/wer.png">
@@ -161,8 +161,8 @@ The inclusion of a post-processing language model can affect the performance sig
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  | [CoRal-project/roest-wav2vec2-1B-v2](https://huggingface.co/CoRal-project/roest-wav2vec2-1B-v2) | 1B | Read-aloud and conversation | No | 8.1% ± 0.2% | 23.9% ± 0.4% |
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  | [CoRal-project/roest-wav2vec2-315M-v2](https://huggingface.co/CoRal-project/roest-wav2vec2-315m-v2) | 315M | Read-aloud and conversation | Yes | **6.5% ± 0.2%** | **16.3% ± 0.4%** |
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  | [CoRal-project/roest-wav2vec2-315M-v2](https://huggingface.co/CoRal-project/roest-wav2vec2-315m-v2) | 315M | Read-aloud and conversation | No | 8.2% ± 0.2% | 25.1% ± 0.4% |
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- | [alexandrainst/roest-wav2vec2-315m-v1](https://huggingface.co/alexandrainst/roest-315m) | 315M | Read-aloud | Yes | 6.6% ± 0.2% | 17.0% ± 0.4% |
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- | [alexandrainst/roest-wav2vec2-315m-v1](https://huggingface.co/alexandrainst/roest-315m) | 315M | Read-aloud | No | 8.6% ± 0.2% | 26.3% ± 0.5% |
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  ### Performance on Other Datasets
@@ -207,11 +207,11 @@ We would like specifically to thank Dan Saattrup Nielsen, Alexandra Institute fo
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  ## Citation
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- We will submit a research paper soon, but until then, if you use this model in your research or development, please cite it as follows:
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-
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- @misc{roest-wav2vec2-1B-v2,
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- author = {Marie Juhl Jørgensen, Søren Vejlgaard Holm, Martin Carsten Nielsen, Dan Saattrup Nielsen, Sif Bernstorff Lehmann, Simon Leminen Madsen, Anders Jess Pedersen, Anna Katrine van Zee, Anders Søgaard and Torben Blach},
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- title = {Roest-wav2vec-1B-v2: A Danish state-of-the-art speech recognition model trained on varied demographics and dialects},
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- year = {2025},
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- url = {https://huggingface.co/CoRal-project/roest-wav2vec2-1B-v2},
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- }
 
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  | [CoRal-project/roest-wav2vec2-1B-v2](https://huggingface.co/CoRal-project/roest-wav2vec2-1B-v2) | 1B | Read-aloud and conversation | 23.9% | 36.7% |
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  | [CoRal-project/roest-wav2vec2-315M-v2](https://huggingface.co/CoRal-project/roest-wav2vec2-315m-v2) | 315M | Read-aloud and conversation | 24.2% | 37.7% |
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  | [CoRal-project/roest-whisper-large-v1](https://huggingface.co/CoRal-project/roest-whisper-large-v1) | 1540M | Read-aloud | 138% | 121% |
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+ | [CoRal-project/roest-wav2vec2-315m-v1](https://huggingface.co/CoRal-project/roest-wav2vec2-315m-v1) | 315M | Read-aloud | 123% | 80.5% |
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  ### Detailed evaluation across demographics on the CoRal test data
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  <img src="https://huggingface.co/CoRal-project/roest-wav2vec2-1B-v2/resolve/main/images/wer.png">
 
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  | [CoRal-project/roest-wav2vec2-1B-v2](https://huggingface.co/CoRal-project/roest-wav2vec2-1B-v2) | 1B | Read-aloud and conversation | No | 8.1% ± 0.2% | 23.9% ± 0.4% |
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  | [CoRal-project/roest-wav2vec2-315M-v2](https://huggingface.co/CoRal-project/roest-wav2vec2-315m-v2) | 315M | Read-aloud and conversation | Yes | **6.5% ± 0.2%** | **16.3% ± 0.4%** |
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  | [CoRal-project/roest-wav2vec2-315M-v2](https://huggingface.co/CoRal-project/roest-wav2vec2-315m-v2) | 315M | Read-aloud and conversation | No | 8.2% ± 0.2% | 25.1% ± 0.4% |
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+ | [CoRal-project/roest-wav2vec2-315m-v1](https://huggingface.co/CoRal-project/roest-wav2vec2-315m-v1) | 315M | Read-aloud | Yes | 6.6% ± 0.2% | 17.0% ± 0.4% |
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+ | [CoRal-project/roest-wav2vec2-315m-v1](https://huggingface.co/CoRal-project/roest-wav2vec2-315m-v1) | 315M | Read-aloud | No | 8.6% ± 0.2% | 26.3% ± 0.5% |
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  ### Performance on Other Datasets
 
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  ## Citation
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+ ´´´
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+ @misc{roest-wav2vec2-1B-v2,
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+ author = {Marie Juhl Jørgensen, Søren Vejlgaard Holm, Martin Carsten Nielsen, Dan Saattrup Nielsen, Sif Bernstorff Lehmann, Simon Leminen Madsen, Anders Jess Pedersen, Anna Katrine van Zee, Anders Søgaard and Torben Blach},
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+ title = {Roest-wav2vec-1B-v2: A Danish state-of-the-art speech recognition model trained on varied demographics and dialects},
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+ year = {2025},
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+ url = {https://huggingface.co/CoRal-project/roest-wav2vec2-1B-v2},
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+ }
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+ ´´´