论文标题

人工音乐智能:调查

Artificial Musical Intelligence: A Survey

论文作者

Liebman, Elad, Stone, Peter

论文摘要

自1950年代和1960年代首次推出音乐以来,计算机已被用于分析和创建音乐。从1990年代后期开始,互联网和音乐推荐和检索的大型平台的兴起使音乐成为机器学习和人工智能研究的越来越普遍的领域。尽管仍然很新生,但已经采用了几种不同的方法来解决可以广泛称为“音乐智能”的方法。本文提供了音乐智能的定义,介绍了其组成部分的分类法,并调查了可以并且一直在追求其追求的广泛的AI方法,并特别强调了机器学习方法。

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.

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