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Various Approaches in Musical Instrument Identification: A Review

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  • Seema R. Chaudhary

    (MIT, Aurangabad, India)

  • Sangeeta N. Kakarwal

    (PESCOE, Aurangabad, India)

Abstract

In the music information retrieval (MIR) field, it is highly desirable to know what instruments are used in an audio sample. Musical instrument classification is one of the sub domains of music information retrieval. Many researchers have presented different approaches for identifying western instruments and those approaches proved to be good for instrument identification. In this article, we have presented work done by the various authors to identify musical instrument using various approaches such sparse based representation, bio-inspired hierarchical model, joint modelling, Bayesian networks, neural networks, convolution neural networks, individual partials, clustering, and segmentation.

Suggested Citation

  • Seema R. Chaudhary & Sangeeta N. Kakarwal, 2019. "Various Approaches in Musical Instrument Identification: A Review," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 10(2), pages 1-7, April.
    • Handle: RePEc:igg:jaec00:v:10:y:2019:i:2:p:1-7
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