While mastering may have started the conversation, ‘smart’ plug-ins are becoming available for every stage of music production. “Ultimately a percentage of those new creators are going to stick with it, level up, and become professional musicians who hire professional engineers.” “These tools just widen the funnel of people coming in and making music,” says Rowland.
In Rowland’s view, giving these people a viable and affordable option leads to a larger music industry overall. This leaves a large group of people who either don’t have the funds to pay for human mastering or aren’t at a stage in their career where they even need it.
LANDR MUSIC MAKER HOW TO
“So either people learn how to master music themselves, which is not easy, or they hire somebody for $50 at the low end or a professional for maybe $250.” “There’s more content out there than every mastering engineer in the world could ever get through,” he says. However, Rowland is the first to point out that there’s still no comparison to the nuance you get from an experienced engineer, and that the conversation around the technology has largely moved on from fears of job replacement. Effectively, it’s supervised machine learning.”Īs the efficacy of online services such as LANDR, Cloudbounce and Aria, and offline plug-ins like iZoptope’s Ozone, have increased, AI mastering has graduated from a novelty to a genuinely useful resource. The engine is like a baby, watching us and learning from what we do, comparing its output to ours. We use the same plug-in stack that the LANDR engine does and every knob we turn, every decision we make, is recorded. “They send us their music and either I or my team master it. “We did deals with Warner, with Disney etcetera,” says Rowland.
This audible jump in quality has been driven by an initiative that Rowland spearheaded when he joined the company seven years ago – to build an in-house, all-human mastering team that the AI could learn from. Those heated discussions have now largely cooled and LANDR has been quietly getting better and better and better.
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