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Another online mastering service #3

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idoleat opened this issue Nov 27, 2019 · 3 comments
Closed

Another online mastering service #3

idoleat opened this issue Nov 27, 2019 · 3 comments
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@idoleat
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idoleat commented Nov 27, 2019

It's called eMaster.

Just want to have some discussion. Recently I got plenty of their advertisement on Facebook. I tried to post the link to this repo under the advertised post multiple times, but it got deleted by them every time. They feature themselves as a tool designed by Grammy-winning engineers. Seems like they are trying to convince people online mastering is a thing.

This tool has been put in public for a while. Maybe the market trend is different from before. What's your thoughts on this? I tried to spread this tool to people but I failed🤣 I hope I have time to convert this to NumPy

@sergree
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sergree commented Nov 27, 2019

Nice to meet you, @idoleat!

I can't say anything bad or good about eMastered. Such services like eMastered or LANDR don't give the possibility to upload own reference tracks. They are different. I think it is not good for some music genres like EDM.
I talked about it here.

Our code is works like this plugin. But it tries to automate such process as much as possible (compares only loudest parts of both tracks, mid/side separately, etc.).

Seems like they are trying to convince people online mastering is a thing.
What's your thoughts on this?

I think everything is possible in the deep learning era. It is the matter of time:
Example #1 (not related to mastering);
Example #2 (not related to audio).

No, Matchering doesn't use any deep learning / machine learning stuff, just plain DSP with ugly procedural code. But it works well for me and my colleagues who make psy-trance. And for the 10k tracks that were processed on our service, while it was online.
It solves this problem: I want my mix to sound like Astrix (insert any artist name) 🤣 (in the context of loudness, spectrum, and width).

I'm afraid to imagine what would happen, if Matchering got a pinch of neural networks. 🎉

@idoleat
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idoleat commented Nov 28, 2019

Cool. Matchering with neural networks will be interested. 😃

By the way, actually you can upload reference track to eMastered. You can switch between Normal mastering(without reference) and reference mastering.

@sergree
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sergree commented Nov 28, 2019

You can switch between Normal mastering(without reference) and reference mastering.

Ah, cool. It had no reference mastering in 2017.

@sergree sergree closed this as completed Dec 30, 2019
@sergree sergree self-assigned this Dec 30, 2019
@sergree sergree added the question Further information is requested label Dec 30, 2019
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