Wavelet ridges for musical instrument classification
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, cilt.38, sa.1, ss.241-256, 2012 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 38 Sayı: 1
- Basım Tarihi: 2012
- Doi Numarası: 10.1007/s10844-011-0152-9
- Dergi Adı: JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.241-256
- Anahtar Kelimeler: Wavelet ridge, Musical instrument classification, Support vector machine
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Dokuz Eylül Üniversitesi Adresli: Evet
Özet
The time-varying frequency structure of musical signals have been analyzed using wavelets by either extracting the instantaneous frequency of signals or building features from the energies of sub-band coefficients. We propose to benefit from a combination of these two approaches and use the time-frequency domain energy localization curves, called as wavelet ridges, in order to build features for classification of musical instrument sounds. We evaluated the representative capability of our feature in different musical instrument classification problems using support vector machine classifiers. The comparison with the features based on parameterizing the wavelet sub-band energies confirmed the effectiveness of the proposed feature.