Artificial Musical Intelligence: A Survey

TL;DR

This survey reviews the evolution of artificial musical intelligence, highlighting various AI and machine learning techniques used to analyze and generate music, and proposing a taxonomy of its components.

Contribution

It provides a comprehensive definition, taxonomy, and survey of AI methods applied to musical intelligence, emphasizing machine learning approaches.

Findings

Various AI methods have been employed in musical intelligence.

Machine learning plays a central role in recent advances.

The paper offers a structured taxonomy of musical intelligence components.

Abstract

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.