![]() ![]() If you absolutely must get this running on your machine, feel free to reach out to me and I'll walk you through the hurdles and what you'll need to build in order for it to be useful. Running LocallyĪs of version 6.0.0 you won't be able to run this project locally in any reasonable/useful way due to how coupled it is with my (unpublished) shader authoring tools. This project is my take on using this data to produce visual experiences using the power of WebGL. There are variables assigned to describe pitch, timbre, and more esoteric descriptors like mood and "danceability." It's even possible to derive realtime volume information, all without processing the audio stream directly. Each song within Spotify's library has been fully analyzed: broken up into individual beats, segments, tatums, bars, and sections. Having been acquired by Spotify, their analysis resources are available via the Spotify API. ![]() The Echo Nest represents the comprehensive algorithmic analysis of music. A WebGL Spotify visualizer made with Vue, D3, and Three.js. ![]()
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