PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Survey of Convolutive Blind Source Separation Methods
Michael Syskind Pedersen, Jan Larsen, Ulrik Kjems and Lucas C. Parra
In: Springer Handbook on Speech Communication (2007) Springer .

Abstract

In this chapter, we provide an overview of existing algorithms for blind source separation of convolutive audio mixtures. We provide a taxonomy, wherein many of the existing algorithms can be organized, and we present published results from those algorithms that have been applied to real-world audio separation tasks.

EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Speech
Theory & Algorithms
ID Code:2776
Deposited By:Michael Pedersen
Deposited On:22 November 2006