CNN based musical instrument identification using time‐frequency localized features
Arindam Dutta, Dibakar Sil, Aniruddha Chandra, Sarbani Palit · Internet Technology Letters · 2020
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%.