Audiobaba is a next-generation music search and recommendation engine.  Because there really is no better way to describe a song than “da da dee da da da”, rather than using text to search for music, Audiobaba searches for music by fingerprinting the acoustic and impossible to articulate qualities of every song in its database and searches through them acoustically.

What makes it different?

Unless you know the name of the song you want, searching for music has so far been a pretty pathetic undertaking.  Instead of using the old methods of keywords, genres, and metatags, they rethought the musical paradigm. With text, the name of the game is to find what you want. With music, the idea is to discover new things. So why does music search return the song you want?  Instead of just returning the song you want (it does that anyway because users expect it), it actually returns songs that sound similar.

How does it work?

Audiobaba is powered by a complex artificial intelligence and years of academic research on sound and music.  Their computer algorithms ‘listen’ to music and compare it for multitudes (they won’t tell the exact number, but its over 70) of acoustic qualities like beats, rhythm, and all that jazz.

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