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Title: :  Social media audio conversation speech safeguard system
PaperId: :  23795
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-23795
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
AkeshJerbiSrm University
Ms.S.Preethi Parameswari Srm University
Rohan Kumar S.NSrm University
Dhanush Ragavendar NSrm University

Abstract

Computer Engineering
Abstract keywords for a social media audio conversation speech safeguard system might include: 1. Real-time audio analysis 2. Keyword detection 3. Harmful content detection 4. Speech recognition 5. Online safety 6. Content moderation 7. Social media monitoring 8. Privacy protection 9. Machine learning algorithms 10. Community guidelines enforcement
The proliferation of audio-based communication on social media platforms introduces significant challenges in ensuring user safety and maintaining civil discourse. To address these issues, we propose a comprehensive safeguard system specifically designed for monitoring, analyzing, and moderating audio conversations in real-time. The system utilizes advanced machine learning algorithms and natural language processing techniques to detect and mitigate harmful content such as hate speech, harassment, and misinformation. Our approach involves a multi-layered architecture that includes acoustic signal analysis to detect stress or aggression in voices, speech-to-text conversion for textual analysis, and semantic content understanding to interpret context and intent. The system is capable of identifying various types of inappropriate content, providing real-time alerts, and facilitating swift moderation actions such as muting participants, ending harmful conversations, or issuing warnings to users. Our safeguard system represents a significant step forward in creating safer communication spaces on social media, offering platform administrators robust tools to enhance user experience and uphold community standards. This paper details the system's design, implementation challenges, and potential impacts on social media governance. The system's effectiveness was evaluated through extensive testing across diverse datasets and real-world scenarios, demonstrating a high level of accuracy in identifying harmful content while maintaining low false positive rates. The proposed system, named Audio Guard, is an advanced speech safeguard system specifically designed for live and recorded audio conversations on social media platforms. Utilizing state-of-the-art speech recognition, natural language processing (NLP), and machine learning algorithms, Audio Guard identifies and mitigates various forms of inappropriate content, including hate speech, harassment, and misinformation.

Citations

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IJARIIE AkeshJerbi, Ms.S.Preethi Parameswari , Rohan Kumar S.N, and Dhanush Ragavendar N. "Social media audio conversation speech safeguard system" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 1137-1147
MLA AkeshJerbi, Ms.S.Preethi Parameswari , Rohan Kumar S.N, and Dhanush Ragavendar N. "Social media audio conversation speech safeguard system." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 1137-1147.
APA AkeshJerbi, Ms.S.Preethi Parameswari , Rohan Kumar S.N, & Dhanush Ragavendar N. (2024). Social media audio conversation speech safeguard system. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 1137-1147.
Chicago AkeshJerbi, Ms.S.Preethi Parameswari , Rohan Kumar S.N, and Dhanush Ragavendar N. "Social media audio conversation speech safeguard system." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 1137-1147.
Oxford AkeshJerbi, Ms.S.Preethi Parameswari , Rohan Kumar S.N, and Dhanush Ragavendar N. 'Social media audio conversation speech safeguard system', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 1137-1147. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Social_media_audio_conversation_speech_safeguard_system_ijariie23795.pdf (Accessed : ).
Harvard AkeshJerbi, Ms.S.Preethi Parameswari , Rohan Kumar S.N, and Dhanush Ragavendar N. (2024) 'Social media audio conversation speech safeguard system', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 1137-1147IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Social_media_audio_conversation_speech_safeguard_system_ijariie23795.pdf (Accessed : )
IEEE AkeshJerbi, Ms.S.Preethi Parameswari , Rohan Kumar S.N, and Dhanush Ragavendar N, "Social media audio conversation speech safeguard system," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 1137-1147, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Social_media_audio_conversation_speech_safeguard_system_ijariie23795.pdf [Accessed : ].
Turabian AkeshJerbi, Ms.S.Preethi Parameswari , Rohan Kumar S.N, and Dhanush Ragavendar N. "Social media audio conversation speech safeguard system." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver AkeshJerbi, Ms.S.Preethi Parameswari , Rohan Kumar S.N, and Dhanush Ragavendar N. Social media audio conversation speech safeguard system. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 1137-1147. Available from: https://ijariie.com/AdminUploadPdf/Social_media_audio_conversation_speech_safeguard_system_ijariie23795.pdf
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