CNN based musical instrument identification using time-frequency localized features

Article Type

Research Article

Publication Title

Internet Technology Letters

Abstract

In this paper, the authors make an attempt to solve the convoluted problem of identifying musical instruments based on their audio excerpts, using a deep convolutional neural network. Continuous wavelet transform of audio signals are realized through Morse wavelet and two-dimensional feature maps are formed, which are then fed to a simple yet robust convolutional neural network. The outcome is appreciable in the sense that training the model with just 20% of the data and testing on the rest gives a classification accuracy of 85%.

DOI

10.1002/itl2.191

Publication Date

1-1-2022

Comments

Open Access, Bronze

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