Musical audio analysis using sparse representations

MD Plumbley; S Abdallah; T Blumensath; MG Jafari; A Nesbit; E Vincent; B Wang

doi:10.1007/978-3-7908-1709-6_9

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Musical audio analysis using sparse representations

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Peer reviewed

Musical audio analysis using sparse representations

MD Plumbley, S Abdallah, T Blumensath, MG Jafari, A Nesbit, E Vincent and B Wang

pp.105-117

Compstat 2006 - Proceedings in Computational Statistics: 17th Symposium Held in Rome, Italy, 2006 (Rome, Italy, 2006)

2006

DOI: https://doi.org/10.1007/978-3-7908-1709-6_9

Abstract

Sparse representations

music

audio

independent components analysis

automatic music transcription

non-negative matrix factorization

source separation

Sparse representations are becoming an increasingly useful tool in the analysis of musical audio signals. In this paper we will given an overview of work by ourselves and others in this area, to give a flavour of the work being undertaken, and to give some pointers for further information about this interesting and challenging research topic.

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Title: Musical audio analysis using sparse representations
Creators: MD Plumbley
S Abdallah
T Blumensath
MG Jafari
A Nesbit
E Vincent
B Wang
Contributors: A Rizzi
M Vichi
Physica-Verlag HD
Publication Details: pp.105-117
Conference: Compstat 2006 - Proceedings in Computational Statistics: 17th Symposium Held in Rome, Italy, 2006 (Rome, Italy, 2006)
Date published: 2006
Date submitted: 17/05/2017
Identifiers: 99511576402346
Academic Unit: University of Surrey
Resource Type: Conference presentation

Musical audio analysis using sparse representations

Abstract

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