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Lecture Notes in Computer Science
The problem of identifying sections of singer voice and instruments is investigated in this paper. Three classification techniques: Linde-Buzo-Gray algorithm (LBG), Gaussian Mixture Models (GMM) and Muli-Layer feed-forwards Perception (MLP). All techniques are based on Mel frequency Cepstres Coefficients (MFCC), which commonly used in the speech and speaker recognition domains, are presented and compared in this paper. All the proposed approaches, yield a decision at every 125 ms only.doi:10.1007/978-3-642-13681-8_16 fatcat:fxu5l7io6zdldhxbsq26a3deke