Improving Speech Privacy with Fuzzy Logic-Based Encryption

Abstract

Speech privacy is a critical concern in today’s interconnected world, where speech processing technologies are becoming increasingly prevalent. Traditional encryption techniques may not be sufficient to protect sensitive information in speech data due to the unique characteristics of speech signals. This research paper explores the application of fuzzy logic-based encryption to enhance speech privacy. Fuzzy logic offers a flexible and adaptive approach to encryption, accommodating the inherent uncertainty and variability present in speech signals. The study investigates the effectiveness of fuzzy logic-based encryption in safeguarding speech data and compares it with conventional encryption methods. Experimental results demonstrate the superiority of fuzzy logic-based encryption in preserving speech privacy, highlighting its potential for securing speech processing systems and applications.