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Denoising Impact Evaluation Dataset Dataset Description The ekacare/denoising-impact-evaluation-dataset is a comprehensive benchmark dataset designed to evaluate the effects of speech enhancement on automatic speech recognition (ASR) systems in medical speech contexts. It includes paired noisy and denoised audio subsets under controlled acoustic conditions to support systematic analysis of denoising performance. Source Data Base Dataset:… See the full description on the dataset page:
Source: Hugging Face Hub (ekacare/denoising-impact-evaluation-dataset). Metadata imported from the dataset’s Hub tags.