AES E-Library

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

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.

Authors: Jafari, Maria G.; Plumbley, Mark D.
Affiliation: Queen Mary University of London, London, UK
AES Convention:128 (May 2010) Paper Number:8087 Import into BibTeX
Subject:Audio Processing—Audio Coding and Machine Interface

Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD 128Papers)   /128/8087.pdf

Start a discussion about this paper!