Welcome to the APME Memphis 2025 conference. Here, you’ll be able to register for the conference and update your Sched profile. The conference schedule will be available in late spring 2025. At that time, you can view the schedule and select the presentations you’d like to attend. If you have any questions, please visit our conference website or contact us at conference@popularmusiceducation.org We look forward to coming together as a community June 4–7, 2025.
Musicians and recording engineers have been confronted recently with a “significant increase” (Vanka et.al., 2023) of availability and use of artificial intelligence (AI) tools in music production. At their best, AI-powered programs are powerful tools for the creative process. Programs such as the LANDR mastering program, for example, use AI to produce professional grade master mix. However, some fear that AI could supplant creativity through creating a dependency on technology with predefined parameters. While discussing the future of music and sound technologies, Bindi et al. (2023) argued that deep generative models “lack the required intentionality to pursue a true creative act” (p. 6). Stem splitting and sonic isolation are other useful AI tools for recording. The release of Now and Then by The Beatles (2023), for example, may not exist if it were not for these AI powered tools. Additionally, programs such as AIVA use AI to generate music. Regardless of one’s stance on the usefulness of AI in the recording process, it is likely that the use of AI will become even more ubiquitous. Therefore, we must seek to learn what AI-powered programs exist that could be useful in music recording, and work towards the goal of integrating these programs creatively and ethically. In this demonstration, I will discuss the AI-driven programs that are most relevant to music recording, provide current examples of how AI is influencing the popular music recording landscape, and offer suggested best practices for the use of AI in music recording.
