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Musical instruments are consist of wide variety of domain so manual classification of these instruments is difficult and challenging task. To make the process of classifying musical instrument easy and less dependent on human supervision given system is designed. There are some algorithm are available for classification tsk from which we uses SVM, MLP and AdaBoost for better result. This system mainly...
Music Information Retrieval (MIR) focuses on retrieving useful information from collection of music. The objective of research work in this paper is to explore clustering approaches which can be useful in automatically mining the content from Carnatic instrumental music. The content to be retrieved is the instrument that is primarily used to play the song. Carnatic music songs with ten different instruments...
A music similarity measure system based on the instrumentation information is proposed in this paper. We combine our previous instrumentation analysis algorithm with a newly designed similarity measure system, which aims at comparing songs solely on their instrumentation content. Several midlevel features are designed and integrated along with the existing low-level feature MFCCs. The weighted distance...
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