More specifically I wanted to order the sounds by their content (what they sound like) rather than by any concept (such as their coordinates, tags, etc.). To synthesize sequences of sounds, I wanted to produce a path through the audio that allowed for a varied trajectory, but also preserved some parsimony between successive samples. I select at most one sound from a limited radius at each of these points, and store its preview. one-degree increments of latitude and longitude). 'water' or 'voice'), I query the Freesound API for sounds tagged with it recorded, or rather geotagged as being, near each integer geographic coordinate (i.e. Here's one for horns, where small melodic fragments sometimes emerge: Following Sound For example, here are kitchens across the planet: In this case, I built on past work in which I had tried to 'sample the world', so to speak.

Previously, I've worked on projects that used visual object detection to retrieve related sounds for soundscape composition (as part of which I wrote a simple Swift API), pre-aggregated sounds distributed onto an interactive street-level map, and more. There's such an amazing range of content uploaded there, but also just so much of it it's hard to know where to begin exploring.

I've always been interested in semi-automated, non-linear explorations of content on Freesound. Seeing the interesting things my colleagues in the class had been building toward, I was inspired to work on a little experiment of my own.

In the fall of 2020, I had the opportunity to serve as TA for the course Why here? What's next? at the Media Lab. Traveling Microphones Following Sonic Phenomena Around the World

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