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@@ -24,6 +24,7 @@ This model can be used in various application areas, including
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  ## Evaluations - Word error rate
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  +-----------------------------------------+-------+-----------+----------------------------+---------------------+
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  | Model | All | Tuda-De | multilingual librispeech | common_voice_19_0 |
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  +=========================================+=======+===========+============================+=====================+
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  +-----------------------------------------+-------+-----------+----------------------------+---------------------+
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  | openai-whisper-tiny | 28.80 | 47.33 | 26.47 | 30.76 |
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  +-----------------------------------------+-------+-----------+----------------------------+---------------------+
 
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  The results are calculated in December 2024 and may change over the time with updates to the eval corpus.
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  ## Evaluations - Word error rate
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+ ```
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  +-----------------------------------------+-------+-----------+----------------------------+---------------------+
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  | Model | All | Tuda-De | multilingual librispeech | common_voice_19_0 |
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  +=========================================+=======+===========+============================+=====================+
 
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  +-----------------------------------------+-------+-----------+----------------------------+---------------------+
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  | openai-whisper-tiny | 28.80 | 47.33 | 26.47 | 30.76 |
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  +-----------------------------------------+-------+-----------+----------------------------+---------------------+
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+ ```
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  The results are calculated in December 2024 and may change over the time with updates to the eval corpus.
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