This is a demo for my paper, Explaining Deep Convolutional Neural Networks on Music Classification.
In my previous post about auralisation of CNNs, I posted 8 deconvolution (and auralisation) results, which were the demonstration contents I selected in the airplane from Korea to UK. It was a perfect allocation, the best way of using the time above 10,000m, and also best timing for listening to all the tedious samples (5 layers x 64 features x 3 songs).
Now I have to confess; I actually had listened less than half of them. I mean, it was that tedious. Probably I could do a bit more if I was on business-class.
Instead, I spent more time on my bed listening the rest, and found out more interesting patterns. I’m going to submit a paper to MLSP this year and here’s the demo for it. I’ll update more lines from the paper after submission.
The first layer
The second layer
The third layer
The fourth layer
The fifth layer