Abstract: The "Social Media Audio Conversations Speech Safeguard System" is a framework designed to improve the security, privacy, and responsible use of audio-based interactions on social media platforms. It incorporates measures to address user privacy, content moderation, data security, policy enforcement, and regulatory compliance. The system uses advanced speech recognition, content analysis, and moderation tools to create a secure and respectful environment for users. Natural Language Processing (NLP) algorithms are used during the text-to-speech conversion process to ensure accurate interpretation and safeguarding of audio content. This promotes responsible user behavior and fosters trust among platform users. The system aims to maintain a secure and respectful online environment by integrating NLP algorithms into the text-to-speech conversion process, thereby promoting responsible user behaviour and trust among platform users.

Keywords: Social Media Audio Conversation Speech Safeguard System, NLP, content, Privacy, audio secure.

| DOI: 10.17148/IARJSET.2024.11576