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README.md
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Trained on common voice FA (Persian).
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On the test set, the WER is 26% without LM and 23% with LM.
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---
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language: fa
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datasets:
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- common_voice
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tags:
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- robust-speech-event
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widget:
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- example_title: Common Voice sample 2978
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src: https://huggingface.co/manifoldix/xlsr-fa-lm/resolve/main/sample2978.flac
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- example_title: Common Voice sample 5168
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src: https://huggingface.co/manifoldix/xlsr-fa-lm/resolve/main/sample5168.flac
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model-index:
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- name: XLS-R-300m Wav2Vec2 Persian
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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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dataset:
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name: Common Voice fa
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type: common_voice
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args: fa
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metrics:
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- name: Test WER without LM
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type: wer
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value: 26%
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- name: Test WER with LM
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type: wer
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value: 23%
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---
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## XLSR-300m Persian
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Fine-tuned on commom voice FA
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