Music Tagging

Music tagging, the automated assignment of descriptive keywords to audio recordings, aims to improve music discovery and organization. Current research focuses on improving tagging accuracy using various deep learning architectures, including transformers and convolutional neural networks, often leveraging self-supervised and semi-supervised learning techniques to address data scarcity and noise. These advancements are driven by the need for robust and efficient methods, with a growing emphasis on interpretability and the integration of multimodal data (e.g., lyrics, images) to enhance performance and user experience.