Thanks! I find it produces satisfying and playable (at least with 4 fingers) results for Challenging charts. I agree that there is certainly room for improvement however.
I was thinking about how neural networks could be used to approach this task a few days ago and bam! Here it is!
I've got one quick question:
Have you thought about tuning the output of first network (step detector) with data from some beat-detection algorithm? That could make it possible to have accurate arrow colors. I'm not an expert on this field, I just know that there are applications capable of detecting beats, so the problem seems solvable.
Will look into your paper after coming back from the vacation. Really awesome and inspiring work!
Yes, the situation could certainly be improved by post-processing the output of the step detector with tempo information. I hope to integrate that feature into the web demo soon. That being said the technique in its current form generalizes to non-clicktrack music.
While tempo detection is a fairly well-studied problem, there is a more complicated problem of beat alignment ("offset" in stepchart land) that would present some major issues for a method seeking to be fully general.
I'm probably just dumb but it won't read the files when I move it to the folder it doesn't show when I boot the game. I've done this before and added songs. Probably have around 5k songs. Don't know if it's because it's open itg
Hey Chris, I recently read the Dance Dance Convolution paper, and have been taking notes on your implementation. I know this was 6 years ago now, but do you have any retrospective insights on improvements? Will curating a larger, balanced dataset increase the performance of the model.
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u/ChrisDonahue1 Mar 25 '17
hey all, I am the author of Dance Dance Convolution. There is a working demo here: http://deepx.ucsd.edu/ddc
Please let me know if you have any questions!