NYU-OLAB/MedDistractAudio

MedDistractAudio MedDistractAudio tests whether background speech from another consultation leaks into a transcript and then a generated clinical note. It contains 57 clean recordings and 456 mixed recordings, forming 456 clean–mixed pairs. Each foreground consultation has two donor segments at four levels: −20, −15, −10 and −5 dB. The prespecified primary level is −10 dB. from datasets import load_dataset, Audio pairs = load_dataset("NYU-OLAB/MedDistractAudio", "pairs"… See the full description on the dataset page: https://huggingface.co/datasets/NYU-OLAB/MedDistractAudio.

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