Affiliation:
1. MIT, Aurangabad, India
2. PESCOE, Aurangabad, India
Abstract
In the music information retrieval (MIR) field, it is highly desirable to know what instruments are used in an audio sample. Musical instrument classification is one of the sub domains of music information retrieval. Many researchers have presented different approaches for identifying western instruments and those approaches proved to be good for instrument identification. In this article, we have presented work done by the various authors to identify musical instrument using various approaches such sparse based representation, bio-inspired hierarchical model, joint modelling, Bayesian networks, neural networks, convolution neural networks, individual partials, clustering, and segmentation.
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference19 articles.
1. A flexible bio-inspired hierarchical model for analyzing musical timbre. IEEE/ACM Transactions on Audio;M.Adeli;Speech, and Language Processing,2016
2. Musical source clustering and identification in polyphonic audio. IEEE/ACM Transactions on Audio;V.Arora;Speech and Language Processing,2014
3. Automatic musical instrument classification using fractional fourier transform based-MFCC features and counter propagation neural network.;D. G.Bhalke;Journal of Intelligent Information Systems,2016
4. Music genre classification using polyphonic timbre models
5. Classification of musical timbre using Bayesian networks;P. J.Donnelly;Computer Music Journal,2014
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