Show HN: I trained an AI model on 120M+ songs from iTunes
by subtech on Hacker News.
Hey HN! I just shipped a project I’ve been working on called Maroofy: https://maroofy.com You can search for any song, and it’ll use the song’s audio to find other similar-sounding music. Demo: https://twitter.com/subby_tech/status/1621293770779287554 How does it work? I’ve indexed ~120M+ songs from the iTunes catalog with a custom AI audio model that I built for understanding music. My model analyzes raw music audio as input and produces embedding vectors as output. I then store the embedding vectors for all songs into a vector database, and use semantic search to find similar music! Here are some examples you can try: Fetish (Selena Gomez feat. Gucci Mane) — https://ift.tt/cNbp0Y9
The Medallion Calls (Pirates of the Caribbean) — https://ift.tt/noY60ys Hope you like it, and would love to hear any questions/feedback/comments! 😀