Music Retrieval System

Music retrieval systems aim to efficiently and accurately search and retrieve music based on various criteria, encompassing tasks like genre classification, music captioning, and personalized recommendations. Current research focuses on improving retrieval accuracy through advanced algorithms, including novel melody extraction techniques and the application of broadcast neural networks, as well as incorporating user context (listening habits, device usage) for personalized experiences. These advancements are driving improvements in music streaming services, enhancing user experience and providing valuable insights into music perception and analysis for both researchers and musicians.