If you are curious I used a NVIDIA GeForce GTX 1660 SUPER
So to be exact, it came out 7 years ago (I upgraded at some point on this desktop a long time ago and didn't remember the exact year) (I updated the article to reflect this now)
This cost $230 new and you can get one now for $100 which I don't think is too out of reach.
If you are committed the model should work about the same on any type of one shot sample. The code is public and documented so if you have the snare collection and a macbook you could probably point claude/chatgpt at it and it would be able to train on your laptop.
I wouldn't exactly say it's trying to solve a problem. It's to explore and see what happens which is what music is all about. It's also a unique niche model I haven't seen before.
the spectrograms are 128x173 (128 mel frequency bins by 173 time frames)
the encoder is downsampling 4 stages of stride 2 convolutions so it halves dimensions 4 times
0: 128 x 173
1: 64 x 87
2: 32 x 44
3: 16 x 22
4: 8 x 11
Then i used 4 separate channels.
This was somewhat arbitrary due to the local training constraint. This would be a hyper parameter worth tuning if I had time to dig into this more.
I trained this a few month ago and don't remember exactly what I tried before I arrived here, but I only ran the whole process 2 or 3 times because of how long it took to train.
Hope this answers your question!
Im not selling a product here so I'm not going to worry about it for my purposes.
This is the hot topic in AI ethics.
Is it just learning the same way that a human learns from hearing songs on the radio and playing them, or is it just a compression algorithm? There is not a clear answer here but it seems like the legal system so far is letting things slide and agreeing with the former argument.
(This can also be applied to other areas like open AI reading the NYT)
The compression is the OTT which stands for Over The Top compression. It was originally a multiband compressor preset in ableton and is now used widely throughout dance music.
Not sure if there's something wrong with the player, or if it's just me, but they both sound like noise. I guess the first sounds vaguely kick drum-like (but distorted), the second is just noise.
Did you save any of the "failed" results? I'd love to hear what kind of weird sounds it makes out of distribution (e.g. on the keywords it didn't have much data for).
If you are curious I used a NVIDIA GeForce GTX 1660 SUPER So to be exact, it came out 7 years ago (I upgraded at some point on this desktop a long time ago and didn't remember the exact year) (I updated the article to reflect this now)
This cost $230 new and you can get one now for $100 which I don't think is too out of reach.