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In the table below I report the Word Error Rate (WER) and the Character Error Rate (CER) of the model. I ran the evaluation script described above on other models as well (on 2021-06-17). Note that the table below may show different results from those already reported, this may have been caused due to some specificity of the other evaluation scripts used.
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| Model |
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| ------------- | ------------- | ------------- |
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| facebook/wav2vec2-large-960h-lv60 | 23.97% | 11.14% |
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| boris/xlsr-en-punctuation | 29.10% | 10.75% |
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| facebook/wav2vec2-large-960h | 32.79% | 16.03% |
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| facebook/wav2vec2-base-960h | 39.86% | 19.89% |
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| facebook/wav2vec2-base-100h | 51.06% | 25.06% |
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| elgeish/wav2vec2-large-lv60-timit-asr | 59.96% | 34.28% |
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| facebook/wav2vec2-base-10k-voxpopuli-ft-en | 66.41% | 36.76% |
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| elgeish/wav2vec2-base-timit-asr | 68.78% | 36.81% |
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## Citation
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If you
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```bibtex
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@misc{lmssc-wav2vec2-base-phonemizer-french,
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In the table below I report the Word Error Rate (WER) and the Character Error Rate (CER) of the model. I ran the evaluation script described above on other models as well (on 2021-06-17). Note that the table below may show different results from those already reported, this may have been caused due to some specificity of the other evaluation scripts used.
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| Model | Test Set | PER |
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| ------------- | ------------- | ------------- |
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| Cnam-LMSSC/wav2vec2-french-phonemizer | Common Voice v13 (French) | **5.52%** |
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| Cnam-LMSSC/wav2vec2-french-phonemizer | Multilingual Librispeech (French) | **4.36%** |
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## Citation
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If you use this finetuned model for any publication, please use this to cite our work :
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```bibtex
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@misc{lmssc-wav2vec2-base-phonemizer-french,
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