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Automatic Musical Instrument Recognition Using K-NN and MLP Neural Networks

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2 Author(s)
Azarloo, A. ; Fac. of Electr. & Electron. Eng., Islamic Azad Univ., Tehran, Iran ; Farokhi, F.

In this paper, we proposed an approach to Musical Instrument Automatic Recognition. We used seven different musical instruments to be played simultaneously from solos to quartets. Our data have 296 feature vectors that used in audio signal classification by MLP neural networks and K-NN algorithm. Finally, MLP achieved as the best neural network in musical instrument recognition.

Published in:

Computational Intelligence, Communication Systems and Networks (CICSyN), 2012 Fourth International Conference on

Date of Conference:

24-26 July 2012