Extracting Audio From a Mix by Singing It – Source Separation via Input Matching

Paris Smaragdis is an assistant professor at the University of Illinois who specializes in research that involves machine listening. This includes source localization (where the sound is coming from), sound recognition (such as a traffic accident at an intersection) and source separation (taking individual voices or instruments out of a mix). Source separation is a

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Visualizing (and Capturing) What Sound Looks Like

When we see images of sound waves (usually in DAWs like Audacity or Pro-Tools) they are usually visualized as transverse waves but in reality they are longitudinal waves caused by the displacement of air molecules resulting in compression and rarefactions in the air. (Check out the previous link for some helpful images to see the

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