Automatic Speech Recognition
Transformers
Safetensors
Portuguese
whisper
contrastive-learning
synthetic-data-filtering
Inference Endpoints
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@@ -94,7 +94,6 @@ The testing data includes subsets from the FLEURS dataset and PSFB, chosen for t
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  ### Word Error Rate (WER) Comparison
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  | Model Size | Model Type | WER (Normalized) | WER (Non-Normalized) |
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  |------------|-----------------|------------------|-----------------------|
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  | Small | Pretrained | 10.87 | 15.43 |
@@ -114,7 +113,7 @@ The testing data includes subsets from the FLEURS dataset and PSFB, chosen for t
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  | Large V3 | FS-3.92% | 4.65 | 11.09 |
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  | Large V3 | FS-0.24% | 4.80 | 11.28 |
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  | Large V3 | Zero Synthetic | 4.86 | 10.92 |
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- ---------------------------------------------------------------------------
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  ### Word Error Rate (WER) Comparison
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  | Model Size | Model Type | WER (Normalized) | WER (Non-Normalized) |
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  |------------|-----------------|------------------|-----------------------|
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  | Small | Pretrained | 10.87 | 15.43 |
 
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  | Large V3 | FS-3.92% | 4.65 | 11.09 |
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  | Large V3 | FS-0.24% | 4.80 | 11.28 |
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  | Large V3 | Zero Synthetic | 4.86 | 10.92 |
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