A 38MB respiratory-sound classifier using grouped spectrograms, deep clustering, and group-mix contrastive learning reports an ICBHI2017 score of 63.26% (Sp 82.06%, Se 44.47%) without pretrained weights.
Automatic adventitious respiratory sound analysis: A systematic review,
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CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning
A 38MB respiratory-sound classifier using grouped spectrograms, deep clustering, and group-mix contrastive learning reports an ICBHI2017 score of 63.26% (Sp 82.06%, Se 44.47%) without pretrained weights.