Publications

Separation by Humming: User Guided Sound Extraction from Monophonic Mixtures

WASPAA - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , October 2009

Published October 18, 2009

Paris Smaragdis, Gautham Mysore

In this paper we present a novel approach for isolating and removing sounds from dense monophonic mixtures. The approach is user-based, and requires the presentation of a guide sound that mimics the desired target the user wishes to extract. The guide sound can be simply produced from a user by vocalizing or otherwise replicating the target sound marked for separation. Using that guide as a prior in a statistical sound mixtures model, we propose a methodology that allows us to efficiently extract complex structured sounds from dense mixtures.

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Research Areas:  AI & Machine Learning Audio