Wavelets for Sparse Representation of Music

Line Ørtoft Endelt; Anders la Cour-Harbo

Wavelets for Sparse Representation of Music

Line Ørtoft Endelt, Anders la Cour-Harbo

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

7 Citations (Scopus)

1075 Downloads (Pure)

Abstract

We are interested in obtaining a sparse representation of music signals by means of a discrete wavelet transform (DWT). That means we want the energy in the representation to be concentrated in few DWT coefficients. It is well-known that the decay of the DWT coefficients is strongly related to the number of vanishing moments of the mother wavelet, and to the smoothness of the signal. In this paper we present the result of applying two classical families of wavelets to a series of musical signals. The purpose is to determine a general relation between the number of vanishing moments of the wavelet and the sparseness of the DWT coefficients.

Original language	English
Title of host publication	Proceedings of WEDELMUSIC 2004
Number of pages	5
Publication date	2004
Pages	10-14
Publication status	Published - 2004
Event	WEDELMUSIC 2004 - Barcelona, Spain Duration: 13 Sept 2004 → 15 Sept 2005

Conference

Conference	WEDELMUSIC 2004
Country/Territory	Spain
City	Barcelona
Period	13/09/2004 → 15/09/2005

Access to Document

Endelt lFinal published version, 82.9 KB

AUB Link

Search for the material in Aalborg University Library's search engine

Automatic Classification and Recognition of Music
Endelt, L. Ø., la Cour-Harbo, A. & Stoustrup, J.
Aalborg University
31/07/2006 → 01/01/2009
Project: Research
OPTOCTRL: Nonlinear and Robust Control of Electro-mechanical Systems with Optical Sensors
Stoustrup, J., Andersen, P., Pedersen, T. S., la Cour-Harbo, A., Vidal Sanchez, E., Jensen, A., Fløe Mikkelsen, H. & Nissen, P.
FTP
01/01/2005 → 01/10/2008
Project: Research

Cite this

@inproceedings{5ec1ea703ca811dab931000ea68e967b,

title = "Wavelets for Sparse Representation of Music",

abstract = "We are interested in obtaining a sparse representation of music signals by means of a discrete wavelet transform (DWT). That means we want the energy in the representation to be concentrated in few DWT coefficients. It is well-known that the decay of the DWT coefficients is strongly related to the number of vanishing moments of the mother wavelet, and to the smoothness of the signal. In this paper we present the result of applying two classical families of wavelets to a series of musical signals. The purpose is to determine a general relation between the number of vanishing moments of the wavelet and the sparseness of the DWT coefficients.",

author = "Endelt, {Line {\O}rtoft} and {la Cour-Harbo}, Anders",

year = "2004",

language = "English",

pages = "10--14",

booktitle = "Proceedings of WEDELMUSIC 2004",

note = "WEDELMUSIC 2004 ; Conference date: 13-09-2004 Through 15-09-2005",

}

TY - GEN

T1 - Wavelets for Sparse Representation of Music

AU - Endelt, Line Ørtoft

AU - la Cour-Harbo, Anders

PY - 2004

Y1 - 2004

N2 - We are interested in obtaining a sparse representation of music signals by means of a discrete wavelet transform (DWT). That means we want the energy in the representation to be concentrated in few DWT coefficients. It is well-known that the decay of the DWT coefficients is strongly related to the number of vanishing moments of the mother wavelet, and to the smoothness of the signal. In this paper we present the result of applying two classical families of wavelets to a series of musical signals. The purpose is to determine a general relation between the number of vanishing moments of the wavelet and the sparseness of the DWT coefficients.

AB - We are interested in obtaining a sparse representation of music signals by means of a discrete wavelet transform (DWT). That means we want the energy in the representation to be concentrated in few DWT coefficients. It is well-known that the decay of the DWT coefficients is strongly related to the number of vanishing moments of the mother wavelet, and to the smoothness of the signal. In this paper we present the result of applying two classical families of wavelets to a series of musical signals. The purpose is to determine a general relation between the number of vanishing moments of the wavelet and the sparseness of the DWT coefficients.

M3 - Article in proceeding

SP - 10

EP - 14

BT - Proceedings of WEDELMUSIC 2004

T2 - WEDELMUSIC 2004

Y2 - 13 September 2004 through 15 September 2005

ER -

Wavelets for Sparse Representation of Music

Abstract

Conference

Access to Document

AUB Link

Fingerprint

Projects

Automatic Classification and Recognition of Music

OPTOCTRL: Nonlinear and Robust Control of Electro-mechanical Systems with Optical Sensors

Cite this