Artificial Musical Intelligence: A Survey
This is an incremental survey that organizes and clarifies the field of AI in music for researchers and practitioners.
This survey tackles the problem of defining and categorizing musical intelligence in AI, providing a taxonomy and reviewing various machine learning methods applied to music analysis and creation. It synthesizes existing approaches without presenting new experimental results.
Computers have been used to analyze and create music since they were first introduced in the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale platforms for music recommendation and retrieval have made music an increasingly prevalent domain of machine learning and artificial intelligence research. While still nascent, several different approaches have been employed to tackle what may broadly be referred to as "musical intelligence." This article provides a definition of musical intelligence, introduces a taxonomy of its constituent components, and surveys the wide range of AI methods that can be, and have been, brought to bear in its pursuit, with a particular emphasis on machine learning methods.