spleeter VS anki

virtual dj and others stem separator is shrinked model of this https://github.com/deezer/spleeter you will get better results downloading original + their large model.

I have used multiple tools at this point. It depends on the scene. I use https://ultimatevocalremover.com/, https://github.com/deezer/spleeter/, iZotope RX. There are also multiple options online, I would personally recommend https://vocalremover.org/.

I tried to use it but I had some issues as others in the thread.

I have tried many sources and method over the years and settled on spleeter [0]. Works well even for 10+ minute songs, varying styles from flamenco to heavy metal.

[0] https://github.com/deezer/spleeter

Spleeter is pretty good https://github.com/deezer/spleeter. Apparently it is used in some dj applications

Haha GitHub and command lines and all can be confusing, but it’s certainly worth the effort because it lets you do everything for free.. here’s the online tutorial: https://github.com/deezer/spleeter/wiki/1.-Installation

Chopped from their website Simple Stems is a quick and easy way to decompose any audio into it’s constituent parts. The plugin uses the well established Spleeter algorithm by Deezer to deconstruct songs into 2, 4 or 5 stems. The results are stunning, though more complicated mixes and live recordings are not always perfectly decomposed.

I was going to post basic pitch from Spotify but it looks like billconan beat me to it. That said I can give you a bit more advice. The Spotify basic pitch model isn't too good at multi-track input. It's capable of it, but you may actually get better results if you separate out the tracks first and then run them individually through the basic pitch model.

In order to do this you can use a source/stem separation model like spleeter (https://github.com/deezer/spleeter) and then run the basic pitch model (or any other midi transcription model). There's other you can try which may yield better results, for example: (https://github.com/Music-and-Culture-Technology-Lab/omnizart)

Either way the key words you want to be looking for are "midi transcription" and "stem separation", should help you find more models to try for both steps. Good luck! :)

Try the Anki system…there was someone who learned over 10 languages with that method:

https://apps.ankiweb.net/

And here is the source code for Anki: https://github.com/ankitects/anki

If you want to convince people to use your spaced repetition software over Anki, you need to tell us what's so wrong with Anki that can't be fixed with plugins and that's worth $10 per year.

You must demonstrate value above what Anki does.

I look at your list of projects in https://0xdev.gumroad.com/ and they're all pre-order of things that already exist elsewhere. To me, this smacks of "give me money, and I'll give you promises." Especially the project https://0xdev.gumroad.com/l/HelpFundMe?layout=profile

You want something for free? I'll give you something for free.

Anki absolutely can be improved. For new users, it's very confusing: having multiple decks, the separation between cards and notes, and the search interface are hard for new users.

Combine something that is simpler for new users with a demonstrably better algorithm and you might have a minimally viable product. But you need the product FIRST before you request money.

Give us something that we can run for one week and know that it's better than the free software that is Anki.

This support landed late last year as part of https://github.com/ankitects/anki/releases/tag/23.10

> .apkg imports are able to merge changed notetypes, and can exclude scheduling data

My main use case is for managing my Azeron Cyborg profiles. And recently I have been experimenting with using the mobile controller feature to help do Anki spaced repetition reviews.

Anki Flashcards