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

By M.D. Plumbley, T. Blumensath, L. Daudet, R Gribonval and M.E. Davies

Abstract

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

Topics: QA
Year: 2010
OAI identifier: oai:eprints.soton.ac.uk:79892
Provided by: e-Prints Soton
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