musicinformationretrieval
Music Information Retrieval (MIR) is a multidisciplinary field that focuses on the development of technologies and algorithms to analyze, organize, and retrieve music data. It encompasses various subfields, including music classification, music recommendation, music transcription, and music similarity measurement. MIR leverages techniques from signal processing, machine learning, and information retrieval to address these challenges.
One of the primary goals of MIR is to make music more accessible and understandable. This involves
MIR also includes music similarity measurement, which quantifies how similar two pieces of music are based
The field of MIR has seen significant advancements with the rise of digital music libraries and streaming