Robust Speech Processing with Fuzzy Logic-Driven Anti-Spoofing Techniques

Abstract

Speech processing applications, such as speaker verification and voice authentication systems, face the challenge of spoof attacks, where adversaries attempt to deceive the system using fake speech signals. This research study proposes a robust speech processing approach using fuzzy logic-driven anti-spoofing techniques. The study explores the adaptability of fuzzy logic in modeling speech patterns and detecting spoof attempts effectively. Experimental evaluations demonstrate the superiority of the proposed method in countering spoof attacks, providing enhanced security and accuracy in speech-based authentication systems.