Presented at Inter-Noise 22: An Audio-based Vehicle Classifer

 
On the 22nd August 2022 former MSc student Ekim Bakirci presented results from his Masters dissertation in a paper entitled, "An audio based vehicle classifier using a convolutional neural network". Ekim demonstrated that 7 different types of vehicle could be classified after training for identification on rural or low use roads with 95%+ accuracy.