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--- |
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language: gsw |
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tags: |
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- hf-asr-leaderboard |
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- robust-speech-event |
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widget: |
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- example_title: swiss parliament sample 1 |
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src: https://huggingface.co/manifoldix/xlsr-sg-lm/resolve/main/07e73bcaa2ab192aea9524d72db45f34f274d1b3d5672434c462d32d44d792be.mp3 |
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- example_title: swiss parliament sample 2 |
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src: https://huggingface.co/manifoldix/xlsr-sg-lm/resolve/main/14a2f855363920f111c7b30e8632c19e5f340ab5031e1ed2621db39baf452ae0.mp3 |
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model-index: |
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- name: XLS-R-1b Wav2Vec2 Swiss German |
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results: |
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- task: |
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name: Speech Recognition |
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type: automatic-speech-recognition |
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metrics: |
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- name: Test WER on Swiss parliament |
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type: wer |
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value: 34.6% |
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- name: Test WER on Swiss dialect test set |
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type: wer |
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value: 40% |
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--- |
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## XLSR-1b Swiss German
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Fine-tuned on the Swiss parliament dataset from FHNW v1 (70h).
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Tested on the Swiss parliament test set with a WER of 34.6%
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Tested on the "Swiss German Dialects" with a WER of 40%
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Both test sets can be accessed here: [fhnw_datasets](https://www.cs.technik.fhnw.ch/i4ds-datasets)
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The Swiss German dialect private test set has been uploaded on huggingface: [huggingface_swiss_dialects](https://huggingface.co/datasets/manifoldix/swg_parliament_fhnw) |
