Automatic Speech Recognition
Transformers
Safetensors
German
whisper
Eval Results
Inference Endpoints
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@@ -51,12 +51,12 @@ This model can be used in various application areas, including
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  ## Evaluations - Word error rate
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- | Dataset | openai-whisper-large-v3-turbo | openai-whisper-large-v3 | primeline-whisper-large-v3-german | nyrahealth-CrisperWhisper (large version) | primeline-whisper-large-v3-turbo-german |
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  |-------------------------------------|-------------------------------|-------------------------|-----------------------------------|---------------------------|-----------------------------------------|
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- | common_voice_19_0 | 3.929 | 3.559 | 3.215 | **1.925** | 3.202 |
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- | multilingual librispeech | 3.205 | 2.833 | 2.128 | 2.847 | **2.073** |
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- | Tuda-De | 8.331 | 7.951 | 8.285 | **5.447** | 6.577 |
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- | All | 3.676 | 3.305 | 2.761 | 2.697 | **2.637** |
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  The data and code for evaluations are available [here](https://huggingface.co/datasets/flozi00/asr-german-mixed-evals)
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  ## Evaluations - Word error rate
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+ | Dataset | openai-whisper-large-v3-turbo | openai-whisper-large-v3 | primeline-whisper-large-v3-german | nyrahealth-CrisperWhisper (large)| primeline-whisper-large-v3-turbo-german |
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  |-------------------------------------|-------------------------------|-------------------------|-----------------------------------|---------------------------|-----------------------------------------|
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+ | Tuda-De | 8.300 | 7.884 | 7.711 | **5.148** | 6.441 |
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+ | common_voice_19_0 | 3.849 | 3.484 | 3.215 | **1.927** | 3.200 |
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+ | multilingual librispeech | 3.203 | 2.832 | 2.129 | 2.815 | **2.070** |
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+ | All | 3.649 | 3.279 | 2.734 | 2.662 | **2.628** |
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  The data and code for evaluations are available [here](https://huggingface.co/datasets/flozi00/asr-german-mixed-evals)
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