@inproceedings{6e0e7a294412489d84470665ebc11625,
title = "Approximate nearest-subspace representations for sound mixtures",
abstract = "In this paper we present a novel approach to describe sound mixtures which is based on a geometric viewpoint. In this approach we extend the idea of a nearest-neighbor representation to address the case of superimposed sources. We show that in order to account for mixing effects we need to perform a search for nearest-subspaces, as opposed to nearest-neighbors. In order to reduce the excessive computational complexity of this search we present an efficient algorithm to solve this problem which amounts to a sparse coding approach. We demonstrate the efficacy of this algorithm by using it to separate mixtures of speech.",
keywords = "Sound mixtures, audio, separation, speech",
author = "Paris Smaragdis",
year = "2011",
doi = "10.1109/ICASSP.2011.5947702",
language = "English (US)",
isbn = "9781457705397",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "5892--5895",
booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",
note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",
}