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Sparse Representations in Audio and 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 Bcocktail 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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Contributor : Rémi Gribonval Connect in order to contact the contributor
Submitted on : Thursday, January 27, 2011 - 10:20:47 PM
Last modification on : Thursday, November 25, 2021 - 3:45:51 AM
Long-term archiving on: : Thursday, April 28, 2011 - 2:25:48 AM


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Mark D. Plumbley, Thomas Blumensath, Laurent Daudet, Rémi Gribonval, Mike E. Davies. Sparse Representations in Audio and Music: from Coding to Source Separation. Proceedings of the IEEE, Institute of Electrical and Electronics Engineers, 2010, 98 (6), pp.995--1005. ⟨10.1109/JPROC.2009.2030345⟩. ⟨inria-00489524⟩



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