Fast Estimation of Optimal Sparseness of Music Signals

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Abstract

We want to use a variety of sparseness measured applied to ‘the minimal L1 norm representation' of a music signal in an overcomplete dictionary as features for automatic classification of music. Unfortunately, the process of computing the optimal L1 norm representation is rather slow, and we therefore investigate the use of matching pursuit, alternating projection, and Moore-Penrose inverse for estimating the result of applying two different sparseness measures to ‘the minimal L1 norm representation' without actually computing this representation.

OriginalsprogEngelsk
TitelProceedings of SPRRA 2006
Antal sider4
ForlagACTA Press
Publikationsdato2006
ISBN (Trykt)0889865809
ISBN (Elektronisk)0889865825
StatusUdgivet - 2006
BegivenhedThe Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications - Innsbruck, Østrig
Varighed: 15 feb. 200617 feb. 2006

Konference

KonferenceThe Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Land/OmrådeØstrig
ByInnsbruck
Periode15/02/200617/02/2006

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