As the name already gives away, the following project focuses on the visualization of sound. It was created during the early stages of the COVID-19 pandemic, during my bachelor studies. This period I delve into various methods of data logging. During this time when everyone stayed at home, I moved back in with my family. Which happens to be a very musical one. Both my parents are musicians and music teachers who had to transition their lessons to online platforms. This adjustment brought about amusing challenges, such as the inability to synchronize rhythms while making music together over internet calls. Have you ever tried singing together while calling, you simple can’t match the rhythm of the other person during the lag of the internet.
In our household, consisting of my parents, my brother, and myself, music was a constant presence. My brother, a fanatic music producer and guitarist, would effortlessly spend up to five hours a day playing. While trying to continue my studies from home, I noticed that I’ve become almost immune for this kind of sound, as it became so normal to me. And so I started logging the amount of music I heard each day on paper, later transforming these logs into a clock-like visualization.
My goal was to visualise the amount of music/noise played during the day without having to log it all day. To achieve this, I developed a code using Processing to monitor sound levels. With every sound detected, particles would appear on the screen and begin to move. The more sound generated throughout the day, the greater the number of particles. This allowed for the visualization of sound exposure captured by the microphone in an animated format.
