How Convolutional Neural Networks Learn Musical Similarity

Convolutional Neural Networks use contrastive learning to understand musical similarity by analyzing audio embeddings. This technique enables real-world music recommendation systems to identify patterns in sound and suggest similar tracks, advancing how AI interprets musical features.