Document Type

Conference Paper


This item is available under a Creative Commons License for non-commercial use only


Electrical and electronic engineering

Publication Details

Proceedings of the International Conference on Digital Audio Effects (DAFX09), Como, Italy, 2009.


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.