Schedl, MarkusMarkusSchedlYI-HSUAN YANGHerrera-Boyer, PerfectoPerfectoHerrera-Boyer2023-10-202023-10-202016-10-0121576904https://scholars.lib.ntu.edu.tw/handle/123456789/636314Intelligent technologies have become an essential part of music systems and applications. This is evidenced by today's omnipresence of digital online music stores and streaming services, which rely on music recommenders, automatic playlist generators, and music browsing interfaces. A large amount of research leading to intelligent music applications deals with the extraction of musical and acoustic information directly from the audio signal using signal processing techniques. Other strategies exploit contextual aspects of music, not present in the signal, for example, community meta-data and trails of user interaction, as found, for instance, on social media platforms. In this editorial, we discuss the notion of "intelligent music system" and give an overview of the papers selected to this special issue.Intelligentmusic systems | Machine learning | Music information retrievaljournal article10.1145/29914682-s2.0-84993970476https://api.elsevier.com/content/abstract/scopus_id/84993970476