Classification MFCC feature from Culex and Aedes aegypti Mosquitoes Noise using Support Vector Machine

Mosquitoes are main vectors for dangerous diseases, such as dengue fever, yellow fever and cikungunya medium from aedes aegypti while filariasis medium from culex [1]. This paper focuses on female mosquitoes of both types because female mosquitoes always bite human or animal to collect blood to obtain protein for egg reproduction [2][3]. The noises of both mosquitoes were recorded and then processed to gain features using MFCC and classified by support vector machine (SVM). Results show that the classification accuracy is about 75.55 %.