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How do we express people's emotions about Tomorrowland through generative music?
Which musical aspects are self-produced and which ones are randomly generated by the algorithm?
How do happiness, anger, fear, and sadness sound in Pillars of Tomorrow?
All the answers below👇🧵🎶
Which musical aspects are self-produced and which ones are randomly generated by the algorithm?
How do happiness, anger, fear, and sadness sound in Pillars of Tomorrow?
All the answers below👇🧵🎶
In this generative piece, there are 4 instruments: bass, piano, percussion (hi-hat, kick, snare, claps, fx sounds), and a quiet pad.
All the rhythms are self-written using Ableton, exported, and randomly selected to create the backbone of our generative music NFT.
All the rhythms are self-written using Ableton, exported, and randomly selected to create the backbone of our generative music NFT.
This approach was chosen because generative harmony is more euphonic compared to generative rhythm.
It's easier to control how something sounds(generative harmony) compared to adding randomness to when sounds are triggered(generative rhythm).
It's easier to control how something sounds(generative harmony) compared to adding randomness to when sounds are triggered(generative rhythm).
In Pillars of Tomorrow, we used emotion analysis to extract data through the Twitter API, analyze people’s emotions, and apply them as generative music traits.
A thread on data analysis 🧵👇
A thread on data analysis 🧵👇
In our previous collection, Pride Month Tribute, we collected 100K online articles and transformed the emotions into colors.
The stronger the emotional expression was during a specific time period, the more prominent the color was in the artwork.
The stronger the emotional expression was during a specific time period, the more prominent the color was in the artwork.
This is a prime example of happiness being the strongest emotion as you can see by the dominant presence of yellow which represents the feeling of happiness in our first NFT collection.
