DocumentCode :
3354550
Title :
Music Instrument Classification Using Generalized Gaussian Density Modeling
Author :
Özbek, M. Erdal ; Savaci, F.A.
Author_Institution :
Elektrik Elektronik Muhendisligi Bolumu, Izmir Yuksek Teknoloji Enstitusu, Izmir, Turkey
fYear :
2007
fDate :
11-13 June 2007
Firstpage :
1
Lastpage :
4
Abstract :
In this work, subband coefficients obtained from one dimensional wavelet decomposition of isolated note samples of different instruments has been modeled using generalized Gaussian density. By using only model parameters, the classification of music instruments has been done by calculating the Kullback-Leibler divergence between two different densities. The effect of different mother wavelet functions used in wavelet decomposition has also been investigated.
Keywords :
Gaussian processes; acoustic signal processing; musical instruments; signal classification; wavelet transforms; Kullback-Leibler divergence; generalized Gaussian density modeling; isolated note samples; music instrument classification; one dimensional wavelet decomposition; subband coefficients; Art; Gaussian processes; Instruments; MPEG 7 Standard;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Conference_Location :
Eskisehir
Print_ISBN :
1-4244-0719-2
Electronic_ISBN :
1-4244-0720-6
Type :
conf
DOI :
10.1109/SIU.2007.4298635
Filename :
4298635
Link To Document :
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