Document Type
Conference Paper
Rights
This item is available under a Creative Commons License for non-commercial use only
Abstract
Recently, shifted non-negative Matrix Factorisation was developed as a means of separating harmonic instruments from single channel mixtures. However, in many cases two or more channels are available, in which case it would be advantageous to have a multichannel version of the algorithm. To this end, a shifted Non-negative Tensor Factorisation algorithm is derived, which extends shifted Non-negative Matrix Factoristiaon to the multi channel case. The use of this algorithm for multi-channel sound source separation of harmonic instruments is demonstrated. Further, it is shown that the algorithm can be used to perform Non-negative Tensor Deconvolution, to separate sound sources which have time evolving spectra from multi-channel signals.
Recommended Citation
Coyle, E., Fitzgerald, D. & Cranitch, M.: Sound source separation using shifted non-negative tensor factorisation. IEEE International Conference on Acoustics, Speech and Signal Processing, Toulouse, France, 2006.
Publication Details
In IEEE International Conference on Acoustics, Speech and Signal Processing, Toulouse, France, 2006 http://www.audioresearchgroup.com/