What is izotope ozone 8 elements11/5/2023 ![]() Some automated mastering systems, like Aria or CloudBounce, require input from the end user to select these targets. Selecting appropriate targets is where it gets tricky. Generally, automated mastering attempts to apply processing that will match the measured values to preselected targets. It’s easy enough to measure the integrated loudness or extract a spectral analysis to determine overall tonal balance, but what you do with that information makes a big difference to the outcome. The success of an automated mastering algorithm depends heavily on the thought put into it by the developer. Thus, while AI mastering is a type of automated mastering, not all automated mastering is necessarily AI mastering. Rather, it can be guided by the human intelligence of the designer who writes the code. However, none of this necessarily requires artificial intelligence. This could include things like setting final levels, setting EQ to improve tonal balance, and even setting parameters for things like compression or saturation. ![]() Automated mastering attempts to use computer algorithms to quickly and automatically complete some of the common steps frequently employed in audio mastering.
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