3D Visualization of Sound Fields Perceived by an Acoustic Camera

Abstract

The paper summarizes the application results of a recently proposed neuro-fuzzy algorithm for multi-dimensional data clustering to 3-Dimensional (3D) visualization of dynamically perceived sound waves recorded by an acoustic camera. The main focus in the present work is on the developed signal processing algorithm adapted to the specificity of multidimensional data set recorded by the acoustic camera, as well as on the created software package for real-time visualization of the “observed” sound waves propagation.

Keywords

• acoustic camera
• multi-dimensional data
• feature extraction
• direction selective cells (mt neurons)
• echo state network
• fuzzy clustering