Instrument identification with convolutional neural networks
College of Arts and Sciences
This project identifies the musical instrument in an audio snippet, using short-time Fourier transform and a convolutional neural network. The accuracy of the system was measured using different filter sizes in the network. Increasing the filter size resulted in a statistically significant decrease in accuracy.