Opens in a new tab

AES E-Library

← Back to search

Convention Paper

A Doubly Sparse Greedy Adaptive Dictionary Learning Algorithm for Music and Large-Scale Data

Authors: Jafari, Maria G.; Plumbley, Mark D.

AES Convention 128 · Paper 8087 · May 2010

Abstract

We consider the extension of the greedy adaptive dictionary learning algorithm that we introduced previously, to applications other than speech signals. The algorithm learns a dictionary of sparse atoms, while yielding a sparse representation for the speech signals. We investigate its behavior in the analysis of music signals, and propose a different dictionary learning approach that can be applied to large data sets. This facilitates the application of the algorithm to problems that generate large amounts of data, such as multimedia of multi-channel application areas.

Details

Published in
AES Convention 128
AES Convention
128
Paper number
8087
Publication date
May 6, 2010
Session subject
Audio Processing—Audio Coding and Machine Interface
Affiliation
Queen Mary University of London, London, UK (See document for exact affiliation information.)
Type
Convention Paper