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What is Efficient Instrument Recognition in Music about?

This document summarizes a study on efficient musical instrument recognition from solo musical performances using basic audio features. The study used a large database of solo phrases from commercial recordings to test recognition accuracy. It found that combining mel-frequency cepstral coefficients (MFCC) with other features describing the audio spectral shape achieved high recognition accuracy when classified with support vector machines using a radial basis function kernel.

Author

Carrot ItCs

Language

EN