INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
his paper discusses the development of a robust system for the automated detection of distress calls in emergency situations,
leveraging advanced technologies and signal processing techniques. In contemporary emergency response scenarios, accurate identification
of distress signals is crucial for efficient and swift assistance. The proposed system will employ state-of-the-art algorithms and artificial
intelligence to analyze various communication channels, including audio and environmental files, to recognize patterns associated with distress
signals. The paper will explore the integration of sophisticated convolutional networks to process real-time data, differentiating distress signals
from background noise and non-emergency communications. This model will be trained on a diverse dataset of diverse audio speech datasets
to enhance the system's adaptability and accuracy in recognizing varying communication patterns. Key objectives include the development of
a user-friendly interface for emergency response teams, facilitating seamless integration of distress call data into their decision-making
processes. The project also aims to address challenges such as signal variability, multiple communication formats, and evolving technologies
by implementing adaptive algorithms.
"DISTRESS CALL DETECTION SYSTEM FOR EMERGENCY SCENARIOS USING CONVOLUTIONAL NEURAL NETWORKS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.h224-h231, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404727.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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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