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Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation
Joint Authors
FitzGerald, Derry
Cranitch, Matt
Coyle, Eugene
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-05-29
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Recently, shift-invariant tensor factorisation algorithms have been proposed for the purposes of sound source separation of pitched musical instruments.
However, in practice, existing algorithms require the use of log-frequency spectrograms to allow shift invariance in frequency which causes problems when attempting to resynthesise the separated sources.
Further, it is difficult to impose harmonicity constraints on the recovered basis functions.
This paper proposes a new additive synthesis-based approach which allows the use of linear-frequency spectrograms as well as imposing strict harmonic constraints, resulting in an improved model.
Further, these additional constraints allow the addition of a source filter model to the factorisation framework, and an extended model which is capable of separating mixtures of pitched and percussive instruments simultaneously.
American Psychological Association (APA)
FitzGerald, Derry& Cranitch, Matt& Coyle, Eugene. 2008. Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation. Computational Intelligence and Neuroscience،Vol. 2008, no. 2008, pp.1-15.
https://search.emarefa.net/detail/BIM-505107
Modern Language Association (MLA)
FitzGerald, Derry…[et al.]. Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation. Computational Intelligence and Neuroscience No. 2008 (2008), pp.1-15.
https://search.emarefa.net/detail/BIM-505107
American Medical Association (AMA)
FitzGerald, Derry& Cranitch, Matt& Coyle, Eugene. Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation. Computational Intelligence and Neuroscience. 2008. Vol. 2008, no. 2008, pp.1-15.
https://search.emarefa.net/detail/BIM-505107
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505107