Respiratory sound classification on ICBHI 2017 (official) benchmark leaderboard · SOTA2 Research

Respiratory sound classification on ICBHI 2017 (official)

85.13SpecificityAdaptive Differential Denoising

Evaluation Results

Method
Adaptive Differential Denoising2025.06	85.13	45.94	65.53
ADD-AST2025.12	85.13	45.94	65.53
Adaptive Differential Denoising2025.06	83.76	34.18	58.97
RepAugment2025.06	82.47	40.55	61.51
RepAugment2025.12	82.47	40.55	61.51
CycleGuardian2025.06	82.06	44.47	63.26
CycleGuardian2025.12	82.06	44.47	63.26
Patch-Mix CL2025.06	81.66	43.07	62.37
Patch-Mix CL2025.12	81.66	43.07	62.37
M2D2025.06	81.51	45.08	63.29
M2D2025.12	81.51	45.08	63.29
BTS2025.06	81.4	45.67	63.54
BTS2025.12	81.4	45.67	63.54
AFT on Mixed-5002025.06	80.72	42.86	61.79
AFT2025.12	80.72	42.86	61.79
MVST2025.06	80.6	44.39	62.5
MVST2025.12	80.6	44.39	62.5
LungAdapter2025.06	80.43	44.37	62.4
LungAdapter2025.12	80.43	44.37	62.4
SG-SCL2025.06	79.87	43.55	61.71
SG-SCL2025.12	79.87	43.55	61.71
CoTuning2025.06	79.34	37.24	58.29
StochNorm2025.06	78.86	36.4	57.63
AST Fine-tuning2025.06	77.14	41.97	59.55
AST2025.12	77.14	41.97	59.55
DAT2025.06	77.11	42.5	59.81
DAT2025.12	77.11	42.5	59.81
SCL2025.06	75.95	39.15	57.55
RespireNet2025.06	72.3	40.1	56.2
Wang et al. (Splice)2025.06	70.4	40.2	55.3
Chang et al.2025.06	69.92	35.85	52.89
LungRN+NL2025.06	63.2	41.32	52.26