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Score informed audio source separation using constrained nonnegative matrix factorization and score synthesis

Fritsch, J and Plumbley, MD (2013) Score informed audio source separation using constrained nonnegative matrix factorization and score synthesis In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013-05-26 - 2013-05-31, Vancouver, CANADA.

FritschPlumbley13-icassp_accepted_notice.pdf - Accepted version Manuscript

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In this paper we present a new method for musical audio source separation, using the information from the musical score to supervise the decomposition process. An original framework using nonnegative matrix factorization (NMF) is presented, where the components are initially learnt on synthetic signals with temporal and harmonic constraints. A new dataset of multitrack recordings with manually aligned MIDI scores is created (TRIOS), and we compare our separation results with other methods from the literature using the BSS EVAL and PEASS evaluation toolboxes. The results show a general improvement of the BSS EVAL metrics for the various instrumental configurations used.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Fritsch, J
Date : 1 January 2013
DOI : 10.1109/ICASSP.2013.6637776
Copyright Disclaimer : © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Contributors :
Uncontrolled Keywords : Audio source separation, musical score, nonnegative matrix factorization, multitrack dataset
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:21
Last Modified : 16 Jan 2019 18:43

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