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

Abstract

Abstract—Sparse representations have proved a powerful toolin the analysis and processing of audio signals and already lieat the heart of popular coding standards such as MP3 andDolby AAC. In this paper we give an overview of a numberof current and emerging applications of sparse representationsin areas from audio coding, audio enhancement and musictranscription to blind source separation solutions that can solvethe “cocktail party problem”. In each case we will show how theprior assumption that the audio signals are approximately sparsein some time-frequency representation allows us to address theassociated signal processing tas