PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Semi-blind Source Separation Using Head-Related Transfer Functions
Michael Pedersen, Lars Kai Hansen, Ulrik Kjems and Karsten Bo Rasmussen
Proceeings of ICASSP 2004 Volume V, pp. 713-716, 2004.

Abstract

An online blind source separation algorithm which is a special case of the geometric algorithm by Parra and Fancourt has been implemented for the purpose of separating sounds recorded at microphones placed at each side of the head. By using the assumption that the position of the two sounds are known, the source separation algorithm has been geometrically constrained. Since the separation takes place in a non free-field, a head-related transfer function (HRTF) is used to simulate the response between microphones placed at the two ears. The use of a HRTF instead of assuming free-field improves the separation with approximately 1 dB compared to when free-field is assumed. This indicates that the permutation ambiguity is solved more accurate compared to when free-field is assumed.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:838
Deposited By:Michael Pedersen
Deposited On:01 January 2005