A summary of the performances and parameters for Coswara dataset validation

ModelParametersAccuracySensitivitySpecificityPPVNPV
LSTMInput = MFCC vector, loss = mean absolute error, optimizer = adam, activation = sigmoid0.75 ± 0.060.29 ± 0.030.93 ± 0.020.61 ± 0.070.79 ± 0.01
CNNInput = Mel-spectrogram images, input shape = (150,150,3), loss = binary crossentropy, optimizer = adam, activation = softmax0.71 ± 0.030.44 ± 0.040.84 ± 0.030.49 ± 0.050.81 ± 0.01
HuBERTInput = Encoder features0.82 ± 0.030.50 ± 0.090.93 ± 0.050.73 ± 0.100.84 ± 0.02