Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation
نویسندگان
چکیده
منابع مشابه
Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation
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 harmo...
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A shift-invariant non-negative tensor factorisation algorithm for musical source separation is proposed which generalises previous work by allowing each source to have its own parameters rather a fixed set of parameters for all sources. This allows independent control of the number of allowable notes, number of harmonics and shifts in time for each source. This increased flexibility allows the ...
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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 ...
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ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2008
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2008/872425