Survey for Classification of Music Instruments using MFCC and spectral Descriptors

Authors

  • Prof. Sarangi Mehta Assistant Professor, Department of Information Technology, Sardar Patel College of Engineering, Anand, India
  • Prof. Dipti Mathpal Assistant Professor, Department of Computer Engineering, Sardar Patel College of Engineering, Anand, India

Keywords:

Music Information Retrieval, Music Instruments Classification, Feature Extraction, Audio Classification, Spectral Features

Abstract

Today music has been a soul medicine in this era and technology has provided much advancement to
work in this area. Music Information Retrieval is one of the fields to provide more advancement in music. There are
certain applications like automatic tagging, cataloguing of music for search engine, automatic musical transcription,
genre classification which require audio classification. This paper concentrates on Instrument classification of
different Indian instruments category. To classify instruments we apply feature extraction on audio. Till now too
many features are used and experiments are made using different classifiers. This paper reviews different features
and techniques to classify Indian music instruments.

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Published

2017-03-25

How to Cite

Prof. Sarangi Mehta, & Prof. Dipti Mathpal. (2017). Survey for Classification of Music Instruments using MFCC and spectral Descriptors. International Journal of Advance Research in Engineering, Science & Technology, 4(3), 51–56. Retrieved from https://ijarest.org/index.php/ijarest/article/view/825

Issue

Vol. 4 No. 3 (2017): Volume: 04, Issue: 03 - March, 2017.

Section

Articles