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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
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| Paper Title: | AI Based Audio Surveillance System for Detecting Offensive Speech in Public Spaces |
| Authors Name: | Ashika Raveendran , Arjun K , Aysha P P , Karthik K , Dr. Shinu Mathew John |
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IJRTI_210376
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| Published Paper Id: | IJRTI2603066 |
| Published In: | Volume 11 Issue 3, March-2026 |
| DOI: | |
| Abstract: | The AI-Based Audio Surveillance System for Detecting Offensive Speech in Public Spaces is an application proposed to detect the offensive speech and alert it to the respected authority. This overcomes the challenges of long audio recordings which cannot be manually segmented or analysed easily, making timely identification of abusive or threatening speech difficult. The proposed system provides an efficient and practical solution by automatically detecting harmful, offensive or panic-inducing language in real world environments. This ensures faster responses and enhances public safety through proactive audio based monitoring. The system is structured into three main modules the Admin Module, which manages authorities, reports and system settings the Authorities Module, which receives real time alerts, accesses audio evidence and locates incidents through geotagging and the AI Module, which powers the core intelligence of the system through speech recognition, natural language processing and machine learning. Together these modules coordinate seamlessly to provide an intelligent and efficient surveillance framework. The app functions through these integrated stages continuous audio capture from the environment, speech-to-text conversion using ASR, semantic and sentiment analysis through NLP, harmful speech classification via machine learning and finally automated alert generation with audio evidence and location data. By minimizing human monitoring while enhancing accuracy and response time, the system delivers a scalable, real time and AI-driven solution for modern public safety needs. |
| Keywords: | Hate Speech Detection, ASR, NLP, Alert Manage. |
| Cite Article: | "AI Based Audio Surveillance System for Detecting Offensive Speech in Public Spaces", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.a519-a524, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603066.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2603066
Registration ID:210376
Published In: Volume 11 Issue 3, March-2026
DOI (Digital Object Identifier):
Page No: a519-a524 Country: Kannur, Kerala, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603066 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603066 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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