MUSICAL INSTRUMENT IDENTIFICATION AND STATUS FINDING WITH MFCC

Authors

  • Miss. Karishma Vichare Student of Master of engineering (VLSI & Embedded system), Dr. D. Y. Patil College of Engineering, Ambi
  • Prof. S. R. Gulhane Professor (Electronics and telecommunication dept.), Dr. D. Y. Patil College of Engineering, Ambi.

Keywords:

Musical Instrument identification; Music signal; Monophonic; feature extraction; classifiers

Abstract

Identification of the musical instrument from a music piece is one of the popular areas of interest in recent
years. In this paper, we present an idea to identify musical instruments from monophonic audio signals by extracting
MFCC features. In this work different classifiers are used that are K-Nearest Neighbors (K-NN) and Support Vector
Machine (SVM) used to identify the musical instrument name by using feature vector generated in feature extraction
process and compare the results from these classifiers in order to check accuracy. We also work on finding the status of
musical instrument whether it is playing correct or faulty by observing pitches of sound signals.

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Published

2018-04-25

How to Cite

Miss. Karishma Vichare, & Prof. S. R. Gulhane. (2018). MUSICAL INSTRUMENT IDENTIFICATION AND STATUS FINDING WITH MFCC. International Journal of Advance Engineering and Research Development (IJAERD), 5(4), 2398–2402. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/3366

Issue

Vol. 5 No. 4 (2018): Volume 5 Issue 4 April 2018

Section

Articles