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Art C Gan v0.1

Music Visualising tool using python

Process

Features

Feature breakdown:

  • peak_num: Number of peaks above threshold. A higher number of peaks signifies a more saturated sound.
  • means: The mean of the spectrum location. Lower value of the mean signifies track is more 'bass heavy'
  • loudness: Measures the loudness of the track or 'power' of the spectrum [FIX: power]
  • peaks_trend: The rate of change of the number of peaks above threshold
  • means_trend: The rate of change of the peaks mean - signifies how fast the track is 'progressing' [FIX -second der.]

Weight Function

Rank

The ranking (currently) is a single digit as the CGAN is trained for only two 'energy levels'

CGAN

Note

TODO

  • pywt instead of essentia

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music visualisation - experimental

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