Deep Learning, Artificial Intelligence, Heart Sounds, Sound Classification, Cardiovascular Disease.
effective way to explore. CNNs will extract the most expressive local feature representation at a low computational cost, while the Transformer is used to encode and fuse information from the context, ultimately focusing on the global feature structure. 2. Results 2.1. SOTA Comparions MFCC as Input