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| library_name: transformers |
| tags: [] |
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| # Adapt-Ar |
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| This model is adapted from the **[DeepAr](https://huggingface.co/CUAIStudents/DeepAr)** model. While structurally identical, it was trained for additional epochs on augmented data to improve robustness against noisy audio, silence, and variations introduced by augmentation. |
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| The purpose of this model is to address the main limitations of the original **[Whisper-Large-v3-Turbo](https://huggingface.co/openai/whisper-large-v3-turbo)** model: |
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| * Silent or low-volume segments → often caused the model to hallucinate text. |
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| * Noisy environments and variable speech speed → reduced transcription accuracy and stability. |
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| For details on model usage and the dataset, please refer to **[DeepAr](https://huggingface.co/CUAIStudents/DeepAr)**. **Adapt-Ar** is architecturally identical to DeepAR, but trained for additional half an epoch on augmented data to improve robustness. |
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| Both models share the same usage; the only difference lies in the training process and naming. |
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