NDLI: Sparse Representations in Audio and Music: From Coding to Source Separation

Content Provider	IEEE Xplore Digital Library
Author	Plumbley, M.D. Blumensath, T. Daudet, L. Gribonval, R. Davies, M.E.
Copyright Year	1963
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.
Sponsorship	IEEE Publication
Starting Page	995
Ending Page	1005
Page Count	11
File Size	780212
File Format	PDF
ISSN	00189219
Volume Number	98
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Source separation Multiple signal classification Signal processing Audio coding Fourier transforms Discrete wavelet transforms Signal analysis Discrete Fourier transforms Resonance Councils wavelet transforms basis functions discrete cosine transforms music signal representations
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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