Since voice communication is the most frequent form of human communication, it is
necessary to identify each speaker in a discussion. The development of advanced computer …

Voice is perceived as a form of biometrics which communicates valuable and rich
information pertinent to an individual, such as his or her identity, gender, accent, age and …

This study thoroughly investigates how well deep learning models can recognize Arabic
handwritten text for person biometric identification. It compares three advanced architectures …

A speech-oriented speaker identification system offers an alternative approach to
conventional biometric identification systems that rely on physical contact. Recent advances …

In recent years, the development of deep learning has progressed rapidly, leading to
broader applications of neural networks across various domains. These applications are …

Advancements in machine learning and deep learning benefit access control systems,
forensics, and biometrics particularly in speaker identification systems. The SincNet …

The present work introduces an Field Programmable Gate Array (FPGA) implementation of
the Fractional Fourier filtering technique (FrFt) to reduce the issue of interference-terms in …

Speaker identification (SI) involves recognizing a speaker from a group of unknown
speakers, while speaker verification (SV) determines if a given voice sample belongs to a …

Due to the characteristics of plant electrical signals being weak, low-frequency, and
susceptible to interference, this study proposes a hardware solution involving silver chloride …

Abstract Background/Objectives: Low-light medical imaging is highly challenging in clinical
diagnostics due to increased noise levels that mask or obscure important anatomical details …