Monaural sound source separation using covariance profile of partials

Goel, Priyank and Ramakrishnan, KR (2012) Monaural sound source separation using covariance profile of partials. In: 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO), 27-29 March 2012, Bucharest, Romania.

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Abstract

This paper addresses the problem of separation of pitched sounds in monaural recordings. We present a novel feature for the estimation of parameters of overlapping harmonics which considers the covariance of partials of pitched sounds. Sound templates are formed from the monophonic parts of the mixture recording. A match for every note is found among these templates on the basis of covariance profile of their harmonics. The matching template for the note provides the second order characteristics for the overlapped harmonics of the note. The algorithm is tested on the RWC music database instrument sounds. The results clearly show that the covariance characteristics can be used to reconstruct overlapping harmonics effectively.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright of this article belongs to IEEE.
Keywords:	Monaural Sound Source Separation; Sinu-Soidal Modeling
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	02 Jul 2013 07:54
Last Modified:	02 Jul 2013 07:54
URI:	http://eprints.iisc.ac.in/id/eprint/46551

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