Survey for Classification of Music Instruments using MFCC and spectral Descriptors
Prof. Sarangi Mehta
, Prof. Dipti Mathpal
Assistant Professor, Department of Information Technology, Sardar Patel College of Engineering, Anand, India, India
Assistant Professor, Department of Information Technology, Sardar Patel College of Engineering, Anand, India, India
Vol. 4, Issue 3 pp. 51-56 🌐 Open Access
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.
Keywords:
Music Information Retrieval, Music Instruments Classification, Feature Extraction, Audio Classification, Spectral Features
