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

Sparse representations in audio & music: from coding to source separation
Sparse representations in audio & music: from coding to source separation
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
0018-9219
995-1005
Plumbley, M.D.
aef8f97b-28dc-4b4a-a092-25844215f9b3
Blumensath, T.
470d9055-0373-457e-bf80-4389f8ec4ead
Daudet, L.
96405217-9031-45a3-bb1d-ea3579f478b7
Gribonval, R
fa3b2691-3a3f-4e81-8ca9-05213b8ce7ca
Davies, M.E.
2f97d5ab-efda-4d6f-936d-00ae95d19e65
Plumbley, M.D.
aef8f97b-28dc-4b4a-a092-25844215f9b3
Blumensath, T.
470d9055-0373-457e-bf80-4389f8ec4ead
Daudet, L.
96405217-9031-45a3-bb1d-ea3579f478b7
Gribonval, R
fa3b2691-3a3f-4e81-8ca9-05213b8ce7ca
Davies, M.E.
2f97d5ab-efda-4d6f-936d-00ae95d19e65

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).

Record type: Article

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

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

Identifiers

Local EPrints ID: 79892
URI: http://eprints.soton.ac.uk/id/eprint/79892
ISSN: 0018-9219
PURE UUID: b15c8c4c-0b9a-46b0-bf8f-248e7ace7e2c
ORCID for T. Blumensath: ORCID iD orcid.org/0000-0002-7489-265X

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Date deposited: 23 Mar 2010
Last modified: 24 Mar 2022 02:39

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Contributors

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

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