The Helios Music Recommendation Engine is a powerful B2B technology to allow searching of large commercial music libraries by using music itself as the search key. Helios works by analyzing the actual sound of each audio track it’s provided. This is called sub-symbolic analysis. It does this by performing a complex digital signal processing analysis on both time and spectral domains. It actually listens to your music rather than just guessing what you want based on what it thinks someone like you listened to before. The scientific research Helios was based on is extensive and draws upon topics in physics, mathematics, and computing science.

Full video: https://youtu.be/PFjjvmYf6fs

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The AIP Podcast is hosted by the CEO and Founder of Supercharge Lab, Anne Cheng.