Promising Research and Development Results in the Field of Image and Speech Signal Processing

Abstract

An analysis of the prospects for the development of technologies for processing images and speech signals is presented. The main results in these areas obtained in recent years in the relevant scientific schools of Belarusian State University of Informatics and Radioelectronics are presented. It is shown that the use of machine learning technologies in combination with methods of digital processing of images and speech signals can significantly increase the efficiency of systems for their recognition and classification.

Keywords

• image classification
• image skeletonization
• speech signal classification
• estimation of the spectrum envelope of an autoregressive process