tjsauce

joined 1 year ago
[–] [email protected] 2 points 1 week ago

Throwback to the Juno soundtrack

[–] [email protected] 6 points 3 weeks ago

I have fond memories of the MS-DOS game

[–] [email protected] 8 points 4 weeks ago (1 children)

Adorable expressions, cats really are clever

[–] [email protected] 17 points 1 month ago (6 children)
[–] [email protected] 24 points 1 month ago (4 children)

Canned goods are non-perishable. Used needles carry contaminate. One is useful, the other isn't.

[–] [email protected] 5 points 1 month ago

They're communicating that the original post is not a meme, it is news.

[–] [email protected] 9 points 1 month ago

Ironically, the line work is very solid in this comic

[–] [email protected] 3 points 1 month ago* (last edited 1 month ago) (1 children)

And watching an account for a year isn't simping?

[–] [email protected] 9 points 1 month ago (5 children)

What are you doing watching someone for a year? What could you possibly gain from that effort? OP clearly lives in your head rent free

[–] [email protected] 4 points 1 month ago

It's even crueler when you remember that newly freed slaves grew the watermelon themselves because they couldn't afford much. Pumpkin spice is a choice of novelty, not survival.

[–] [email protected] 6 points 1 month ago

Gorgeous planet

[–] [email protected] 2 points 1 month ago

Tibby, sweet Tibby

1
submitted 6 months ago* (last edited 6 months ago) by [email protected] to c/[email protected]
 

I've been using machine learning to separate the music from the soundtrack of the 2001 film Osmosis Jones. Using selective muting and many, many spectral edits, I've extracted around 20 songs so far.

There will be artifacts, but it's the best that can I can do with the sources and tech I have.

 
 

There seems to be a lot of AI audio tools; anyone try them for audio isolation? My usecase is separating a song from a 5.1 movie mix, there's a great remix of Hot Blooded I wanna preserve

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