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

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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Identifiers

ORCID for T. Blumensath: orcid.org/0000-0002-7489-265X

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