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Indian Musical Instrument Recognition using Modified LPC Features

International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 122 - Number 13
Year of Publication: 2015
Satish R. Sankaye
Suresh C. Mehrotra
U. S. Tandon

Satish R.sankaye, Suresh C.mehrotra and U s Tandon. Article: Indian Musical Instrument Recognition using Modified LPC Features. International Journal of Computer Applications 122(13):6-10, July 2015. Full text available. BibTeX

	author = {Satish R.sankaye and Suresh C.mehrotra and U.s. Tandon},
	title = {Article: Indian Musical Instrument Recognition using Modified LPC Features},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {122},
	number = {13},
	pages = {6-10},
	month = {July},
	note = {Full text available}


Indian Classical Music is considered very diverse and distinct area of music across the globe. It has its indistinct melodies especially made up of unique musical instruments. It uses a wide variety of Musical Instruments to achieve this feat. In last two decades, researchers are actively associated with human perception towards the study of Musical Instruments. In this paper, we have proposed an innovative method to classify the Indian Musical Instrument Recognition (IMIR) technique using the Modified Linear Predictor Coefficient (LPC) features. The Classification algorithm has adopted Linear Discriminant Analysis (LDA). The proposed method has been tested with nine kinds of musical instruments. The research project involved the identification of musical sounds with experimental results using the present technique which has an accuracy of 93. 04%.


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