AI in Music Production: A Revolution in Sound
AI is already making waves in music production, helping producers and engineers create more sophisticated and polished tracks.
In the realm of audio production, tools like LANDR, iZotope’s Ozone 9 and Neutron, and Soundtheory’s Gullfoss are leading the way, offering automated mastering and mixing services that exploit AI to process and augment sound. These tools are fostering a DIY ethos, making the process more accessible for amateur musicians and producers who might not have the resources to engage professional mastering engineers.
LANDR, for instance, employs machine learning to examine and master tracks, equating the input to a database of professionally mastered songs. It offers near-instantaneous mastering service at a nominal cost.
In the same vein, iZotope’s Ozone and Neutron utilise AI technology to provide mix suggestions, pinpointing and rectifying issues before they escalate into problems.
Soundtheory’s Gullfoss is an ‘intelligent’ equaliser that adjusts its frequency response over a hundred times per second to harmonise the elements of your mix.
Automating the Mastering Process with AI
Traditionally, mastering a track required the skilled ear of an experienced engineer. However, AI technology is proving it can handle a significant portion of the process. AI-driven tools analyze tracks, adjusting equalization, compression, stereo enhancement, and limiting to create balanced, industry-standard results. While the technology is not meant to replace human engineers, it offers invaluable support by handling time-consuming tasks, allowing engineers to focus on the creative aspects of the mix.
However, this rapid advancement towards automation raises several significant questions:
- Are we compromising the craft of audio production for the sake of convenience?
- Can AI and machine learning genuinely replicate the skills and nuanced comprehension that a human mastering engineer contributes?