tjsauce

joined 2 years ago
[–] tjsauce@lemmy.world 17 points 3 weeks ago

And he had bespoke animations that were kinda charming

[–] tjsauce@lemmy.world 7 points 3 weeks ago

Thank you for your efforts, I hope things improve for you ❤️

[–] tjsauce@lemmy.world 25 points 3 weeks ago (2 children)

The cylinder cannot be damaged in any way

[–] tjsauce@lemmy.world 4 points 3 weeks ago (5 children)

Who'd be a better admiral, Jelico or Musk?

[–] tjsauce@lemmy.world 1 points 1 month ago

Humans are people.

[–] tjsauce@lemmy.world 3 points 1 month ago (3 children)

And your solution, killing everyone in a category, isn't fascistic?

[–] tjsauce@lemmy.world 4 points 1 month ago (1 children)

Beard looks good on him

[–] tjsauce@lemmy.world 4 points 1 month ago

I worked with an AS400 while in vehicle logistics, those things are optimized for simple functions but high data throughput

[–] tjsauce@lemmy.world 2 points 2 months ago (7 children)

Wtf your username has been popping up in my brain, but i couldn't quite remember where i read it

[–] tjsauce@lemmy.world 6 points 2 months ago (1 children)

Great edit!!

[–] tjsauce@lemmy.world 15 points 2 months ago

Great show, very funny

[–] tjsauce@lemmy.world 30 points 2 months ago (1 children)

Sir this isn't reddit

1
submitted 1 year ago* (last edited 1 year ago) by tjsauce@lemmy.world to c/musicproduction@lemmy.ml
 

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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