👉 Musician computing, or music information retrieval (MIR), is an interdisciplinary field that combines computer science and music theory to extract, analyze, and utilize information from musical data. It involves developing algorithms and models to understand, interpret, and generate music, enabling applications like automatic music transcription, music recommendation systems, audio editing tools, and intelligent performance assistants. By leveraging techniques from signal processing, machine learning, and data mining, musician computing aims to bridge the gap between human creativity and computational power, enhancing music creation, analysis, and consumption.
