Texture classification using spectral entropy of acoustic signal generated by a human echolocator

• Main Authors: Raja Abdullah, Raja Syamsul Azmir, Saleh, Nur Luqman, Syed Abdul Rahman, Sharifah Mumtazah, Zamri, Nur Syazmira, Abdul Rashid, Nur Emileen
• Format: Article
• Language: English
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2019
• Online Access: http://psasir.upm.edu.my/id/eprint/82160/1/Texture%20classification%20.pdf; http://psasir.upm.edu.my/id/eprint/82160/; https://www.mdpi.com/1099-4300/21/10/963
• Institution: Universiti Putra Malaysia

Human echolocation is a biological process wherein the human emits a punctuated acoustic signal, and the ear analyzes the echo in order to perceive the surroundings. The peculiar acoustic signal is normally produced by clicking inside the mouth. This paper utilized this unique acoustic signal from a...