Securing Voice Software Applications in English Vocabulary Learning Systems Using 5G Sensor Networks and AI-Based Privacy Protocols

Abstract

Voice-based technology has gained significant popularity in educational environments, especially in language learning systems. These technologies immerse users to an interactive atmosphere that enhances their vocabulary memory and listening comprehension together with pronunciation skills. These are often included in vocabulary study platforms used in English words. Thus, 5G sensor networks along with AI-based privacy protocols, in this research, secure the voice software application in the context of English vocabulary learning systems. With voice-driven educational systems becoming increasingly common, it is crucial to protect sensitive user data. This framework ensures a safe environment for users by combining innovative encryption methods with AI-powered speech anonymization. Important procedures include end-to-end encryption for data transfer and differential privacy to protect user identities for secure access. The system also incorporates AI-based protections to preserve monitoring of possible breaches of security. It was found that a secure and adaptable learning environment actually enhances the overall user experience in giving voice data proper local processing within 5G networks. While offering low latency and high speeds for data transfer, this research shows that there is an overall improvement in voice applications of vocabulary learning systems based on 5G and AI-based privacy protocols, thus encouraging a secure, efficient, and user-friendly learning environment.