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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).

Record type: Article


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

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Submitted date: 1 June 2009
Published date: June 2010
Organisations: Signal Processing & Control Grp


Local EPrints ID: 79892
ISSN: 0018-9219
PURE UUID: b15c8c4c-0b9a-46b0-bf8f-248e7ace7e2c

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Date deposited: 23 Mar 2010
Last modified: 18 Jul 2017 23:15

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Author: M.D. Plumbley
Author: T. Blumensath
Author: L. Daudet
Author: R Gribonval
Author: M.E. Davies

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