@inproceedings{331e765736c74e268b277f3f97a32c3f,
title = "Placing AI in the Creative Industries: The Case for Intelligent Music Production",
abstract = "The digital transformation of the recording industry is one of the most well-known in recent times, with the Digital Audio Workstation (DAW) making new methods of music production available to amateurs and professionals in almost any setting beyond the traditional recording studio. However, the uptake of AI in this domain is seemingly impeded by DAW software architectures and a need for designers to better understand production practices and workflows. Our research addresses the latter of these challenges and in this extended abstract we present an overview of an ethnographic study that “gets inside” the work of the recording studio and exposes opportunities for the design of automated production tools. From a summary report of this work, we then aim to motivate or provoke novel conversations and future work in this problem space.",
keywords = "Automation, Ethnography, Music production, Workflow",
author = "Glenn McGarry and Alan Chamberlain and Andy Crabtree and Christopher Greenhalgh",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 23rd International Conference on Human-Computer Interaction, HCII 2021 ; Conference date: 24-07-2021 Through 29-07-2021",
year = "2021",
doi = "10.1007/978-3-030-78635-9\_72",
language = "English",
isbn = "9783030786342",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature",
pages = "562--572",
editor = "Constantine Stephanidis and Margherita Antona and Stavroula Ntoa",
booktitle = "HCI International 2021 - Posters - 23rd HCI International Conference, HCII 2021, Proceedings",
address = "Switzerland",
}