I extracted the vocal stem using melody.ml so they already aren't great quality, right now I just have some basic equing and Soundgoodizer preset A on the master. Source: 9 months ago
Download his songs off youtube and then import em into melody.ml. Source: 11 months ago
Since it seems pretty similar to 302 you could also isolate the frequencies or extract all the parts to see how he mixed it. melody.ml is a decent way to have a quick look at volume levels and sounds used IMO. Source: 12 months ago
Have a wav or mp3, you could download from youtube using https://yt1s.com Remove vocals using Https://melody.ml Or for a download version: Https://makenweb.com/SpleeterGUI. Source: about 1 year ago
I'd study every single record of Midnight Star, D-Train, Shalamar, all that kind of stuff. Use https://melody.ml/ to isolate the bass so you can really hear what's going on. Source: about 1 year ago
Bro use this website https://samplette.io to find what kinda vocals you need then use https://melody.ml/ to separate vocals from the instrumentals its fucken brilliant bro solved the exact problem that you have now for me. Source: about 1 year ago
Use https://melody.ml/ to split up the track in stems so it's easier to hear what & how. Source: about 1 year ago
Here, sorry if it's not that good, I just downloaded the official instrumental and used a website called melody.ml to seperate the music tracks. Source: about 1 year ago
Aye dawg you should make your own acapellas bc most of the ones on youtube aren't the best quality. The website I use is melody.ml but make sure you use it on an incognito browser tho because it's gonna ask you to pay credits if you use it on a regular browser. Source: about 1 year ago
I used https://melody.ml on the steamed hams instrumental dubbing track m&e whatever, and I ripped instruments from the songs like this,. Source: about 1 year ago
The idea sparked when I wanted to separate individual tracks of a song, so I went to Product Hunt and discovered melody ml. This discovery started the urge to learn ML for music, hence the discovery of the Python library, librosa. - Source: dev.to / about 1 year ago
Plz make a more finished version, I can put files into melody.ml if you need. Source: over 1 year ago
Highly recommend melody.ml, there's a limit for free accounts so just make more with throwaway mail addresses. Also vocalremover.org unlimited iirc, free. Source: over 1 year ago
There are some ways, however. Melodyne can detect pitch in monophonic wave tracks. The Spleeter algorithm can deconstruct music into several tracks. All of these ways have their flaws and artifacts. However, if you have full control over the source material - just use the multitracks individually. Source: over 1 year ago
In fact if you hit up a site called melody.ml. Source: over 1 year ago
You can use something like https://www.lalal.ai/ or https://melody.ml to strip the instrumental with varying success. Source: over 1 year ago
There are many sites that use AI to separate the stems (like lalal.ai for example), but using melody.ml gave me the best results. Source: almost 2 years ago
Try using https://melody.ml - you can upload two tracks for free, uses Deezer and often results are more than satisfactory. Good luck 🍀. Source: almost 2 years ago
Use melody.ml, it's like lalal except it gives you all the stems and it's free (you can use it in incognito mode and put in random keyspam emails). Source: almost 2 years ago
Melody.ml is goated. Its free and does it super high quality. It gives u stems too. Source: almost 2 years ago
I then separate the song into multitracks using - https://melody.ml/. Source: almost 2 years ago
Do you know an article comparing Melody ML to other products?
Suggest a link to a post with product alternatives.
This is an informative page about Melody ML. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.