@inproceedings{0156b0b061374e43aa35a4b82ecda41d,
title = "Audio signal representations for factorization in the sparse domain",
abstract = "In this paper, a new class of audio representations is introduced, together with a corresponding fast decomposition algorithm. The main feature of these representations is that they are both sparse and approximately shift-invariant, which allows similarity search in a sparse domain. The common sparse support of detected similar patterns is then used to factorize their representations. The potential of this method for simultaneous structural analysis and compressing tasks is illustrated by preliminary experiments on simple musical data.",
keywords = "Audio Signal Decomposition, Audio Similarity, Factorization, Matching Pursuit, Sparse Representation",
author = "Manuel Moussallam and Laurent Daudet and Ga{\"e}l Richard",
year = "2011",
month = aug,
day = "18",
doi = "10.1109/ICASSP.2011.5946453",
language = "English",
isbn = "9781457705397",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "513--516",
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",
}