Has anyone used Spotify audio features as a method of analysis in an academic context?
I'm trying to analyse different samples of music, to see if the features differ depending on how the music was chosen. I have 260 tracks and poor programming skills, so the useability of the Spotify developer website is very appealing to me.
I can see from previous threads that their underlying method of calculation is not in the public domain, but I'm wondering if anyone has used them anyway? Or is their an alternative?
All thoughts / suggestions appreciated. :)
Thank you! Within the MIR field, do you know of any approaches or toolboxes that attempt to quantify the 'energy' within music?
Hey Tim,
Thanks a million for all this! I'm familiar with the MIR toolbox, its really useful, but great to get some other leads . . .
I'll definitely check out that article on 'punch' and see if it overlaps. While there is an inherent subjectivity in assessing the 'energy' in a song, this will help to see how much we can account for systematically before considering individual interpretation. In my mind the concept is independent from emotion such that high energy could be aggressive, or indeed playful or joyful excitement, equally low energy could be calm, chilled and also exhausted or depressed (blues).
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