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README.md
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---
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language:
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- uk
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license: "
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datasets:
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- mozilla-foundation/common_voice_10_0
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Join Ukrainian Speech Recognition Community - https://t.me/speech_recognition_uk
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This model was trained using the base model https://huggingface.co/fav-kky/wav2vec2-base-cs-80k-ClTRUS (pre-trained from 80 thousand hours of Czech speech)
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This model has apostrophes and hyphens.
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Metrics
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Without LM:
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- WER: 0.4416
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- CER: 0.1042
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With LM:
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- WER: 0.1422
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- CER: 0.0464
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Metrics (CV10 test split):
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Without LM:
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- WER: 0.4121
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- CER: 0.0946
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With LM:
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---
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language:
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- uk
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license: "apache-2.0"
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datasets:
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- mozilla-foundation/common_voice_10_0
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---
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Join Ukrainian Speech Recognition Community - https://t.me/speech_recognition_uk
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This model has apostrophes and hyphens.
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Metrics:
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| Dataset | CER | WER |
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| CV7 (no LM) | 0.0432 | 0.2288 |
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| CV7 (with LM) | 0.0169 | 0.0706 |
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| CV10 (no LM) | 0.0412 | 0.2206 |
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| CV10 (with LM) | 0.0118 | 0.0463 |
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