The results are good though! Good work! :D
[1] http://twistedsifter.com/2013/01/hidden-images-embedded-into...
The results are good though! Good work! :D
[1] http://twistedsifter.com/2013/01/hidden-images-embedded-into...
[1] http://journals.plos.org/plosone/article?id=10.1371/journal....
Yes, and thus the reason why the classifier was so good at recognizing trance...it's one of the few genres that locks in at around 144bpm.
The spectrogram is just a series of FFTs taken over time; encoding it as a bitmap doesn't really change this, aside from precision issues. Any other representation of the audio is derived from either the original time-domain signal or the FFT.
Indeed, humans can't reliably map raw waveforms or spectrograms to intuitive musical phenomena. But a CNN should be able to derive meaningful features from these basic representations on its own.