jpetersen
Noel Borthwick [Cakewalk]
That's not accurate - Landr uses Machine learning. If you look at the theory, machine learning is as accurate as the DATA its given rather than as intelligent as the programmer....our Vocal sync feature was designed using machine learning to understand how to analyze and extract data from a huge subset of vocals samples.
In the Vocal sync case I can see the mechanism behind analyzing many vocal examples to find out common characteristics in these files.
But with LANDR, what is it learning? Who is giving it feedback to say, "That sounds better, what you did this time is right"?
It wouldn't surprise me if it turns out all it does is figure out genre based on tempo, harmonic density, etc. and then applies a preset, possibly even on a commercially available mastering tool.
well said.
BTW, last time anyone checked, LANDR was actually Reaper plus a couple of plugins scripted to apply different settings based on certain aspects of the file to be 'mastered'. Basic conditional logic that is totally useless in this context.
If someone doesn't know even the basics, that person is still much better off using a few presets from eq's and limiters, even those native to whatever DAW they are using. The benefits are multiple:
1. No additional cost
2. They learn in the process
3. They can apply/tweak many more settings until they find something the like
4. Faster and more professional approach short and long term
Pretending that you can "master by the numbers" (all this LANDR thing is doing) is no different than trying to manufacture hits by applying a formula that creates the parts for you.
I'm truly appalled Cakewalk is defending this gross misstep.