Wavelet ridges for musical instrument classification
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, vol.38, no.1, pp.241-256, 2012 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 38 Issue: 1
- Publication Date: 2012
- Doi Number: 10.1007/s10844-011-0152-9
- Journal Name: JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.241-256
- Keywords: Wavelet ridge, Musical instrument classification, Support vector machine
- Open Archive Collection: AVESIS Open Access Collection
- Dokuz Eylül University Affiliated: Yes
Abstract
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.