Speech Recognition Applications in Enhancing Safety for Women in Built Environment

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.