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), pp. 995-1005. (doi:10.1109/JPROC.2009.2030345).

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Description/Abstract

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:
Organisations: Signal Processing & Control Grp
ePrint ID: 79892
Date :
Date Event
1 June 2009Submitted
June 2010Published
Date Deposited: 23 Mar 2010
Last Modified: 18 Apr 2017 20:12
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/79892

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