Music Information Retrieval (MIR)

Music Information Retrieval (MIR) is the field focused on developing technology to analyze, organize, and retrieve music data. It involves extracting meaningful features from audio recordings—such as rhythm, melody, or genre—and using these features to improve tasks like searching for songs, recommending music, or identifying tunes. MIR combines techniques from signal processing, machine learning, and music theory to help users find and navigate music more efficiently, whether through apps, streaming services, or music databases. Essentially, it makes handling large collections of music smarter and more intuitive.