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building an audio similarity search engine.. given an input track it will find others that sound similar using vector embeddings from a machine learning model with an index of 1.1 million electronic music tracks
10 条评论

ok u can try it out at still a couple of bugs but hope u enjoy

to everyone searching for hyph mngo and being disappointed in the results its becuse hyph mngo is unique and nothing else sounds like hyph mngo its the best song ever made

this is so sick is there any way i can run a track from my computer through the embedding model and then give ur site the vector and get it to recommend songs to me. also why cosine similarity and not euclidean distance

thanks! im looking to build a yt link / audio upload -> embeddings feature next which would give recommendations for input tracks not in index. not sure how feasible it would be to do in-browser or locally

heartbroken

sorry ❤️🩹

needs more tracks!! r u gonna try to make more embeddings on ur own with music that wouldn’t have made it into the original set?

@ramenbois yea! this is a dataset i built from discogs+youtube with more still being ingested also going to add a feature to generate embeddings from a pasted yt link or user upload and return similar tracks for stuff not in index

Any way to turn results into a playlist? It appears the player on the site has it here but Idk how to turn that into an actual playlist.

good idea! will add a "copy playlist link" button soon since yt playlists can also be made from a list of video ids e.g.

