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# German ASR
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This model is trained on the Mozilla Common Voice 8.0, the Spoken Wikipedia Corpus and the m-ailabs corpus.
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- https://nats.gitlab.io/swc/
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- https://commonvoice.mozilla.org/de/datasets
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# Performance
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This model has a WER of 7.09
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# Model application
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```
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# **Citing our paper**
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Please, cite our paper, when you use
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```bibtex
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@inproceedings{freiwald2022,
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author={J. Freiwald and P. Pracht and S. Gergen and D. Kolossa},
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# German ASR
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This model is trained on the Mozilla Common Voice 8.0, the Spoken Wikipedia Corpus and the m-ailabs corpus.
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In contrast to our first model this one can transcribe German Umlauts. Additionally it was trained on a newer Version of the Mozilla Common Voice.
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- https://nats.gitlab.io/swc/
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- https://commonvoice.mozilla.org/de/datasets
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# Performance
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This model has a WER of 7.09% and is slightly better then the model from our paper:
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https://huggingface.co/jfreiwa/asr-crdnn-german
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# Model application
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```
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# **Citing our paper**
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Please, cite our original paper, when you use our models in your research.
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```bibtex
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@inproceedings{freiwald2022,
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author={J. Freiwald and P. Pracht and S. Gergen and D. Kolossa},
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