Disruption, Futures and Innovation expert.And in theory, Landr’s algorithm is improving with every song uploaded to the platform.įanatical Futurist ArsTechnica published a scathing review in 2016, calling Landr’s auto mastering an “auto turd,” but others say it does the job. If you’re not happy with what Landr’s output gives you, you can’t ask it to finesse the sound the way you would with a human engineer. It’s a catchall approach, and it’s not exactly flexible. You can upload the song you want mastered, let Landr’s algorithm analyse it, choose between three options for how strongly you want effects applied, and then export the result. Landr is one of the most popular such services, hosted as a web service. But no matter how they operate, the goal is the same – mastering audio with a couple clicks. Some use deep learning networks, which analyse the data fed to it over time, while others use a carefully crafted signal chain designed by a human and deployed as software. Those prices can break the bank for indie artists and bedroom producers.īut over the past few years, automated options have popped up that promise artists access to professional sounding mastering without the costs of human engineers. Depending on the engineer’s experience, it can cost anywhere from hundreds to tens of thousands of dollars for a single track, thanks to the critical listening skills involved. Mastering can also be hideously expensive.
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