Automatic recognition of emotion is important for facilitating seamless interactivity between a
human being and intelligent robot towards the full realization of a smart society. The …

In this work, we propose a new algorithm for the computation of Tchebichef moments by
means of a recurrence relation with respect to order and the Gram–Schmidt process, which …

We tested and validated the accuracy of wavelet transform along with stepwise linear
discriminant analysis (SWLDA) and support vector machines (SVMs) for crop/weed …

Currently mobile digital image applications transmit a lot of images back and forth. Image
compression is needed to reduce transmission payload at the expense of lower quality. At …

Speech recognition is still a growing field of importance. The growth in computing power will
open its strong potentials for full use in the near future. Spectrum analysis is an elementary …

The article considers the multibiometric identification of a student to improve the quality and
minimize errors in the process of his identification using voice and visual biometric features …

This paper makes available a concise review of to present analysis of speech signal and
Fourier transform to representation, for Speaker recognition Technology. Fast Fourier …

In this study, we present a novel voice recognition service developed on the Raspberry Pi 4
model B platform, leveraging the fast Fourier transform (FFT) for efficient speech-to-digital …

Door security system has evolved rapidly in the past twenty years, since door plays an
important role on home security. Therefore, the paper proposes a door security system using …

The enhancement of quality and efficiency in contemporary speech technology systems is
increasingly reliant on the application of machine learning techniques. Recent …