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Electrical and electronic engineering
This paper describes the use of Non-negative Tensor Factorisation models for the separation of drums from polyphonic audio. Improved separation of the drums is achieved through the incorporation of Gamma Chain priors into the Non-negative Tensor Factorisation framework. In contrast to many previous approaches, the method used in this paper requires little or no pre-training or use of drum templates. The utility of the technique is shown on real-world audio examples.
Fitzgerald, D., Coyle, E. & Cranitch, M. Using Tensor Factorisation Models to Separate Drums from Polyphonic Music, Proceedings of the International Conference on Digital Audio Effects (DAFX09), Como, Italy, 2009.
Science Foundation Ireland; Enterprise Ireland