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Title Speech Recognition Applications In Enhancing Safety For Women In Built Environment
ID_Doc 52743
Authors Gupta M.; Ashtt R.; Wankar M.; Monga A.
Year 2023
Published Proceedings of 2023 26th Conference of the Oriental COCOSDA International Committee for the Co-Ordination and Standardization of Speech Databases and Assessment Techniques, O-COCOSDA 2023
DOI http://dx.doi.org/10.1109/O-COCOSDA60357.2023.10482912
Abstract This research delves into the potential of speech recognition technology to enhance the safety of women in urban environments. Given the increasing concerns about safety for women in cities, technology presents viable solutions. Among these innovations, speech recognition stands out as a powerful security tool. The study introduces speech recognition and explores its various applications in addressing women's safety issues while identifying vulnerabilities. Additionally, it evaluates how speech recognition can enhance security measures, encompassing personal safety devices, emergency response systems, and smart city integration through case studies. Ethical considerations related to privacy and user empowerment are also discussed. The paper suggests integrating speech technology with other tools, further research initiatives, and policies to foster safer environments. In today's technological landscape, speech recognition empowers women by providing discreet emergency access and real-time monitoring capabilities in public spaces. AI-driven voice recognition algorithms continually improve accuracy and personalization based on comprehensive data sets, thus enabling safer navigation within urban areas. This review offers insights for academia, practitioners, and policymakers, advocating for collaboration to foster secure public spaces for women. © 2023 IEEE.
Author Keywords Built environments; Crime; Data security; Emergency response systems; Implementation; Personal safety devices; Safety; Smart city infrastructure; Speech recognition; Urban settings; Women


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