Deep Learning, Artificial Intelligence, Heart Sounds, Sound Classification, Mfcc.
model attains an accuracy of 98.34%, a recall of 98.66%, a precision of 98.01% and F1 score of 98.34%. The PRCNNa model attains an accuracy of 97.34% and F1 score of 97.33%. 3.5. SOTA Comparisons SOTA Comparisons Proposed CRNN-a and PRCNN-a perform best.