tjsauce

joined 2 years ago
[–] tjsauce@lemmy.world 17 points 1 week ago

And he had bespoke animations that were kinda charming

[–] tjsauce@lemmy.world 7 points 1 week ago

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

[–] tjsauce@lemmy.world 25 points 1 week ago (2 children)

The cylinder cannot be damaged in any way

[–] tjsauce@lemmy.world 4 points 1 week ago (5 children)

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

[–] tjsauce@lemmy.world 1 points 2 weeks ago

Humans are people.

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

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

[–] tjsauce@lemmy.world 2 points 1 month ago

Is it an excuse, or an explanation?

[–] 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 1 month 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 1 month ago (1 children)

Great edit!!

[–] tjsauce@lemmy.world 15 points 1 month ago

Great show, very funny

11
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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