Soft-label distillation from same-architecture teacher ensembles improves respiratory sound classification and sets a new ICBHI score of 64.39, though gains are partly due to test-set-based selection of settings.
Main Results Table 1 presents the main results compared to previous RSC work on the ICBHI dataset
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Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles
Soft-label distillation from same-architecture teacher ensembles improves respiratory sound classification and sets a new ICBHI score of 64.39, though gains are partly due to test-set-based selection of settings.