Sparse representations in audio & music: from coding to source separation

Plumbley, M.D., Blumensath, T., Daudet, L., Gribonval, R and Davies, M.E. (2010) Sparse representations in audio & music: from coding to source separation. Proceedings of the IEEE, 98, (6), 995-1005. (doi:10.1109/JPROC.2009.2030345).


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Abstract—Sparse representations have proved a powerful tool
in the analysis and processing of audio signals and already lie
at the heart of popular coding standards such as MP3 and
Dolby AAC. In this paper we give an overview of a number
of current and emerging applications of sparse representations
in areas from audio coding, audio enhancement and music
transcription to blind source separation solutions that can solve
the “cocktail party problem”. In each case we will show how the
prior assumption that the audio signals are approximately sparse
in some time-frequency representation allows us to address the
associated signal processing task

Item Type: Article
Digital Object Identifier (DOI): doi:10.1109/JPROC.2009.2030345
ISSNs: 0018-9219 (print)
Related URLs:
Subjects: Q Science > QA Mathematics
Divisions : University Structure - Pre August 2011 > School of Mathematics > Applied Mathematics
Faculty of Engineering and the Environment > Institute of Sound and Vibration Research > Signal Processing & Control Research Group
ePrint ID: 79892
Accepted Date and Publication Date:
June 2010Published
1 June 2009Submitted
Date Deposited: 23 Mar 2010
Last Modified: 31 Mar 2016 13:16

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