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@@ -186,6 +186,8 @@ Model is trained on validated Mozilla Common Voice Corpus 10.0 dataset (excludin
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  ## Performance
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  | Version | Tokenizer | Vocabulary Size | MCV-8 test | MCV-8 dev | MCV-9 test | MCV-9 dev | MCV-10 test | MCV-10 dev |
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  | :-----------: |:---------------------:| :--------------: | :--------: | :-------: | :--------: | :-------: | :---------: | :--------: |
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  | 1.0.0 | SentencePiece Unigram | 1024 | 4.27 | 5.66 | 4.45 | 5.57 | 5.53 | 5.30 |
 
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  ## Performance
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+ The list of the available models in this collection is shown in the following table. Performances of the ASR models are reported in terms of Word Error Rate (WER%) with greedy decoding.
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  | Version | Tokenizer | Vocabulary Size | MCV-8 test | MCV-8 dev | MCV-9 test | MCV-9 dev | MCV-10 test | MCV-10 dev |
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  | :-----------: |:---------------------:| :--------------: | :--------: | :-------: | :--------: | :-------: | :---------: | :--------: |
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  | 1.0.0 | SentencePiece Unigram | 1024 | 4.27 | 5.66 | 4.45 | 5.57 | 5.53 | 5.30 |