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whisper-large-v3-turbo-german

Automatic Speech Recognition
Transformers
Safetensors
German
whisper
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@@ -49,10 +49,10 @@ This model can be used in various application areas, including
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  | Dataset | openai-whisper-large-v3-turbo | openai-whisper-large-v3 | primeline-whisper-large-v3-german | nyrahealth-CrisperWhisper | primeline-whisper-large-v3-turbo-german |
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  |---------------------------------|-------------------------------|-------------------------|----------------------------------|---------------------------|----------------------------------------|
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- | common_voice_19_0 | 6.31 | 5.84 | 4.30 | 4.14 | 4.28 |
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- | Tuda-De | 11.45 | 11.21 | 9.89 | 13.88 | 8.10 |
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- | multilingual librispeech | 18.03 | 17.69 | 13.46 | 10.10 | 4.71 |
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- | All | 14.16 | 13.79 | 10.51 | 8.48 | 4.75 |
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  ### Training data
 
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  | Dataset | openai-whisper-large-v3-turbo | openai-whisper-large-v3 | primeline-whisper-large-v3-german | nyrahealth-CrisperWhisper | primeline-whisper-large-v3-turbo-german |
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  |---------------------------------|-------------------------------|-------------------------|----------------------------------|---------------------------|----------------------------------------|
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+ | common_voice_19_0 | 6.31 | 5.84 | 4.30 | **4.14** | 4.28 |
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+ | Tuda-De | 11.45 | 11.21 | 9.89 | 13.88 | **8.10** |
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+ | multilingual librispeech | 18.03 | 17.69 | 13.46 | 10.10 | **4.71** |
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+ | All | 14.16 | 13.79 | 10.51 | 8.48 | **4.75** |
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  ### Training data