Novel WaveELU for Spoof Classification in ASV System Using Fusion Features

We are proud to share that Dr. Medikonda Asha Kiran, Assistant Professor in the Department of Information Technology at Anurag University, has published a research paper titled “Novel WaveELU for Spoof Classification in ASV System Using Fusion Features.” The paper has been published in the SCIE-indexed, Q2 journal Circuits, Systems, and Signal Processing with an Impact Factor of 2.0.

The research focuses on improving automatic speaker verification (ASV) systems by introducing a novel WaveELU approach for spoof detection using fusion-based feature extraction techniques. This work enhances the robustness and accuracy of biometric authentication systems, contributing to advancements in speech signal processing and cybersecurity applications.

This publication reflects the author’s strong expertise in machine learning and signal processing, and her contribution to developing secure and intelligent authentication systems.

Anurag University takes immense pride in the achievements of its students, faculty, and research scholars. Every individual success is a reflection of the collective commitment to excellence, innovation, and meaningful contribution that defines the institution’s academic culture.