ZIP / VBR MP3 / 21.9 MB / 16:58
Single-sized release with four tracks that represent my attempts at ambient minimal. Some FM, some squares, some arps, some glitches.
Enjoy!
chipmusic.org is an online community in respect and relation to chip music, art and its parallels.
You are not logged in. Please login or register.
ChipMusic.org / Forums / Posts by µB
ZIP / VBR MP3 / 21.9 MB / 16:58
Single-sized release with four tracks that represent my attempts at ambient minimal. Some FM, some squares, some arps, some glitches.
Enjoy!
I can't really paticipate in this but I challenge anybody who is willing to pixel a Bob Ross style landscape with Bob's standard colors.
"He ask u to wipe down bottom of m"
My newspeak fails, did he ask you to wipe her bottom?
Still using it, and I'm very happy with it. So far I haven't seen a platform that lets me do what I want to an equal degree, suits me like a glove.
And yeah, while Buzz can be bitchy at times, I'll also say this: I haven't had a crash that led to data loss in over two years. Once you know where the traps are, it's easy to avoid them.
Wow, outstanding. The planet and the fabric look amazing, really good job on the shading.
The problem with using popular suggestions right now is that they are biased to the small sample of available tracks, or rather, they were the first tags to be used and got more popular by simply being there.
little-scale tagged a track "2600", "Atari" and "Atari 2600" to catch all eventualities. Just an example, but it shows redundancy appearing and indicates that tags for systems with few tracks will be difficult to find because the tags differ. Also, mood and pace tags (fast, sad, energetic, dance-able) aren't really there because people didn't think of them without the suggestion, but I think they would make for good searches.
Maybe a broad set of fixed ones until there's a good pool? User tagging?
Also, I realize I'm probably a pain in the ass, but I want this to be good. Thanks for coping with my ramblings!
Yeah, I agree that getting some of the "inside" info to show outside would be nice. Tags could be restricted to a fixed number behind the uploader. Also a CC request marker maybe?
I think expanding the list of preset tags could encourage people to use them more. I'd suggest a row for systems/format, one for mood descriptions and maybe one for popular genres.
Back on topic, if it is planned to feature the latest uploads on the frontpage, I'd really love to see the double column design 8bc used to have, so uploaded tracks are "up" a second time. Ditch view and comment count and upload time to make space, in fact, I'm all for removing view/comment counts anyways. I'd favour a twitter-style news section (TCTD feed? community submitted?) and quick links to active forum topics instead of latest comments on tracks. A tag cloud to quick-search for tracks would also be nice to have.
I had the idea to asign each weekday to a popular chip (ie monday=2a03, tuesday=sid etc.) and spotlight tracks for those systems, but that may be too gimmicky.
I'm also an unashamed Cunningham fan:
I don't think that's the official Vordhosbn video, but I like it:
Thank you! I got the VSTi to work in Buzz no problem, which was my biggest concern. I'll play a bit more with it, I like it a lot so far.
Aaand I just posted a 1bit track, just saying.
Faking it as usual, tho.
Huh, now I'm confused. There was one guy called mmcm posting AY and Floops stuff at 8bc. Was that some kind of shared account, or is mmcm also the moniker of someone?
Well, I know that there have been some experiments with pattern recognition (fuzzy logic, neural networks) where they fed it 'hits' and then charged it to produce one. Kinda like when they did that with pictures of beautiful people and then had it make a picture- in both cases the result was rather bland, but not too far off the mark.
The idea that a trained neural network could compare input to it's 'perfect' template and then calculates the overlap is viable, but probably not practical (yet). That seems to be what they're offering from what I've read, and a comparison with the DB of the neural network would be very quick (The dissection of the input data should however take a while depending on the width of parameters). The accuracy of the result depends on how well the network was trained, how many aspects of the input are compared and human-made adjustments for exceptions, training errors and such.
So, yes, it could work to a degree. I'd file this particular site under 'toy' though, because I have yet to see a neural network that was trained so well that it could tackle a complex beast like the effect of music on the human brain*, mainly because we still haven't figured out how exactly our brain works. There were some interesting efforts in combining genetic algorithms (evolution based self-writing networks) with AI last I checked on the topic, and complex tasks in areas that are explained well (ie we know most of the system parameters) can be solved. For example, a few years ago a trained network was able to perform the landing operation of a jet.
*) See for example the yet unsuccessful attempts of using neural networks as a translation tool. Language is comparable to music in width of parameters and complexity
Edit:Fixed some Germanglish
ChipMusic.org / Forums / Posts by µB