How AI is solving one of music’s most expensive problems
The last step in audio production is being taken over by machines Making music is one of the most human things we do, but in recent years, AI has stepped in to lend a helping hand. Algorithms have been infiltrating nearly every part of music making, from generating original drum loops to writing melodies, producing parts that are increasingly hard to distinguish from human players. Now, AI is reaching the mastering process, raising hard questions about the need for human experts in the most specialized areas of music production.
Mastering is the final step in audio post production, and balances out all of a song’s elements so it will sound consistent no matter how you’re listening to it — on Spotify, in iTunes, or on a CD. The goal of mastering is to make the listening experience balanced and cohesive from song to song. The process is a blend of science and personal taste. With a good mixdown, a mastering engineer will make sure they understand the sound you’re going for and help you get there. Without mastering, the song will be quieter and less punchy. As mastering engineer Ian Cooper says, mastering is “a bit like photography — you can make the sky bluer, the greens greener.” Read more…
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February 04, 2019 at 04:21PM
Simon is a multi-platinum producer and composer with over 30 years of industry experience. Having collaborated with world-class artists including Shania Twain, Maxi Priest, and Apache Indian, he brings real-world professional insight to every guide on this site.
Beyond the studio, Simon is the author of Record, Mix and Master – A Beginner’s Guide to Audio Production (published by Palgrave Macmillan) and mentors MA students at BIMM University. You can view his discography and portfolio at www.simonduggal.com
