Skewed alpha-stable distributions for modeling and classification of musical instruments

Mehmet Erdal ÖZBEK; Mehmet Emre ÇEK; Ferit Acar SAVACI

Makale detayları

Skewed alpha-stable distributions for modeling and classification of musical instruments

Yazarlar:

Mehmet Erdal ÖZBEK | Mehmet Emre ÇEK | Ferit Acar SAVACI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2012 Vol.20 Issue 6, pp.934-947

Belge Tipi:

Makale

Yayın Tarihi:

5/2012

Belge Dili:

Türkçe

Document ID (Org No.):

2000743514

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

Music information retrieval and particularly musical  instrument classification has become a very popular research area for  the last few decades.  Although in the literature many feature sets  have been proposed to represent the musical instrument sounds, there  is still need to find a superior feature set to achieve better  classification performance.  In this paper, we propose to use the  parameters of skewed alpha-stable distribution of sub-band wavelet  coefficients of musical sounds as features and show the effectiveness  of this new feature set for musical instrument classification.  We  compare the classification performance with the features constructed  from the parameters of generalized Gaussian density and some of the  state-of-the-art features using support vector machine classifiers.

 

Music information retrieval and particularly musical  instrument classification has become a very popular research area for  the last few decades.  Although in the literature many feature sets  have been proposed to represent the musical instrument sounds, there  is still need to find a superior feature set to achieve better  classification performance.  In this paper, we propose to use the  parameters of skewed alpha-stable distribution of sub-band wavelet  coefficients of musical sounds as features and show the effectiveness  of this new feature set for musical instrument classification.  We  compare the classification performance with the features constructed  from the parameters of generalized Gaussian density and some of the  state-of-the-art features using support vector machine classifiers.

Makale detayları

Skewed alpha-stable distributions for modeling and classification of musical instruments

Yazarlar: Mehmet Erdal ÖZBEK | Mehmet Emre ÇEK | Ferit Acar SAVACI

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2012 Vol.20 Issue 6, pp.934-947

Belge Tipi: Makale

Yayın Tarihi: 5/2012

Belge Dili: Türkçe

Document ID (Org No.): 2000743514

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Mehmet Erdal ÖZBEK | Mehmet Emre ÇEK | Ferit Acar SAVACI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2012 Vol.20 Issue 6, pp.934-947

Belge Tipi:

Makale

Yayın Tarihi:

5/2012

Belge Dili:

Türkçe

Document ID (Org No.):

2000743514

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632