Treffer: Non-negative tensor factorisation for sound source separation

Title:
Non-negative tensor factorisation for sound source separation
Source:
IEE Irish signals and systems conference 2005 (Dublin Ireland, 1-2 September 2005)IEE conference publication. :8-12
Publisher Information:
London: Institution of Electrical Engineers, 2005.
Publication Year:
2005
Physical Description:
print, 16 ref 1
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dept. of Electronic Engineering, Cork Institute of Technology Rossa Avenue, Bishopstown, Cork, Ireland
Department of Electronic Engineering, Dublin Institute of Technology Kevin St, Dublin, Ireland
ISSN:
0537-9989
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.17565636
Database:
PASCAL Archive

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An algorithm for Non-negative Tensor Factorisation is introduced which extends current matrix factorisation techniques to deal with tensors. The effectiveness of the algorithm is then demonstrated through tests on synthetic data. The algorithm is then employed as a means of performing sound source separation on two channel mixtures, and the separation capabilities of the algorithm demonstrated on a two channel mixture containing saxophone, strings and bass guitar.