RECOGNITION OF MUSICAL INSTRUMENT FROM AUDIO FILE
| Author(s) | : | Miss. Patil Vishakha P, Miss. Patil Yamini C, Miss. Chaudhari Simran R, Miss. Patil Shweta S, Mr. R.A.Shaikh |
| Institution | : | 1Department of Computer engg & IT, North Maharashtra University, Jalgaon |
| Published In | : | Vol. 5, Issue 5 — May 2018 |
| Page No. | : | 661-666 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The software involves a formal method of automatic ontology generation for web based audio signalprocessing application. Ontology is a set of concepts and category in audio file that shows their property and features. Inthis system various musical instrument from wind to string families are classified using timber features extracted fromaudio. To obtain models of the analyze instrument recordings k-means clustering is used to determine and optimize codebook of line spectral frequencies (LSF) or met frequency spectral coefficient (MFCCs. To classification technique basedon multi-layer perception(MLP) neural network and support vector machine (SVM)were tested. The input of software ismusic audio collection and output name of instrument with it’s image.
Miss. Patil Vishakha P, Miss. Patil Yamini C, Miss. Chaudhari Simran R, Miss. Patil Shweta S, Mr. R.A.Shaikh, “RECOGNITION OF MUSICAL INSTRUMENT FROM AUDIO FILE”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 5, pp. 661-666, May 2018.
