Rashmi Ashtt
@igdtuw.ac.in
Professor & Head of Department, Department of Architecture and Planning
Indira Gandhi Delhi Technical University for women
EDUCATION
Ph.D. , M.Plan (Urban Planning) School of Planning and Architecture (SPA ) Delhi , Architecture (A.I.I.A.)
RESEARCH, TEACHING, or OTHER INTERESTS
Multidisciplinary
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Shivani Goel, Rashmi Ashtt, Monali Wankar, and Prasoon Gupta
IEEE
Amid cultural heritage and architectural wonders, historic cities exude a feeling of lasting tradition. Challenges arise in improving residents' quality of life while safeguarding the past. To delve into the potential of speech technology as a solution, this paper examines how it intersects with heritage preservation and enhances daily life in historic cities. In breaking down the multifaceted implications of speech technology, this study looks into practical uses for voice assistants, speech recognition, and natural language processing in navigating urban challenges without sacrificing cultural context. Drawing on specific case studies and established research, the paper outlines how speech technology can facilitate more fluid communication, improved accessibility, and an overall more engaging experience for denizens and visitors in a city setting. Speech technology has been identified as a pivotal tool in bridging the gap between heritage preservation and urban development in historic cities. The paper underscores the need to integrate innovation into existing preservation strategies. Doing this will guarantee a harmonious relationship between the past and the future and enable sustainable urban growth. Ultimately, this will transform the landscape of historic cities and foster a dynamic equilibrium between heritage preservation and modern urban living.
Kanwar Dimple Singh and Rashmi Ashtt
IEEE
This study investigates the synergy between speech recognition technology and urban last-mile connectivity enhancement. Urban areas face connectivity challenges like network congestion and accessibility barriers. To address these issues, we explore the integration of speech recognition with urban infrastructure.Our methodology includes urban connectivity analysis, user surveys, focus groups, and case studies. We assess existing urban connectivity, gather user preferences, and investigate the benefits and challenges of speech recognition integration. We also consider multi-linguistic support.Case studies in selected urban districts provide practical insights, revealing user behavior and congestion reduction impact. We analyze user experience, compare speech recognition with touch-based interactions, and assess its benefits for navigation and accessibility.Balancing convenience and privacy, we address data protection concerns.This research informs urban planners and policymakers on optimizing innovative urban connectivity solutions. It empowers urban residents with efficient, accessible, and congestion-free digital experiences.
Mani Gupta, Rashmi Ashtt, Monali Wankar, and Ajay Monga
IEEE
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.
Ar. Shweta Sharma, Rashmi Ashtt, and Monali Wankar
IEEE
This paper explores the intricate challenge of restoring historically significant urban areas, striking a delicate balance between cultural preservation, efficiency, and conservation, while adapting to a changing world. Our focus is on Lutyens's Delhi, a region renowned for its architectural grandeur but grappling with energy consumption, environmental sustainability, and public health concerns.We propose a unique solution, leveraging speech processing technologies, to aid in the revitalization of residential districts within Lutyens's Delhi. This study investigates the potential of speech processing to enhance efficiency and conservation while preserving the city's distinctive character. We examine the impact of urban revitalization, historical preservation, and the practical applications of voice recognition and natural language processing, drawing insights from relevant literature.Our research employs a mixed-methods approach, encompassing interviews, surveys, and data analysis of architectural plans and historical documents. We evaluate the ability of voice recognition systems to optimize energy consumption in residential areas and utilize natural language processing to glean valuable insights from resident feedback, facilitating informed decision-making during revitalization.Our findings underscore the tangible benefits of integrating speech processing technologies. These tools enhance our understanding of resident preferences and concerns, fostering a more sustainable and culturally sensitive approach to urban development. Significant improvements in energy efficiency are also observed. Moreover, we address ethical considerations related to privacy, ensuring the rights of residents are upheld while harnessing the advantages of speech processing.Lutyens's Delhi, an iconic urban area, grapples with the intricate task of preserving its cultural heritage while embracing modernity and sustainability. Our research contributes to the discourse on urban revitalization and offers practical insights for architects, policymakers, urban planners, and residents. It emphasizes the transformative potential of speech processing in historic urban spaces like Lutyens's Delhi, paving the way for a brighter and more sustainable future.In summary, our study underscores the importance of sustainable conservation and urban revitalization efforts, augmented by speech processing technologies, in Lutyens's Delhi. These endeavors are pivotal for enhancing efficiency and ensuring the city's long-term sustainability.
Rashmi Ashtt and Mayank Mathur
IEEE
This paper proposes transforming Shahjahanabad into a Smart Heritage City by integrating good governance principles, speech technology, and IoT. Good governance, encompassing principles like Accountability, Transparency, Equity & Inclusiveness/ Fairness, Performance/Responsiveness, Effectiveness & Efficiency/ Direction, Participation/ Legitimacy & Voice, is crucial for sustainable development. Speech technology, including multilingual voice recognition and NLP, enhances communication and responsiveness. IoT monitors air quality, traffic, waste management, and energy usage, optimizing resource utilization. Collaboration, cybersecurity, and digital literacy are vital for success. This approach aims to preserve Shahjahanabad’s historical appeal while addressing modern infrastructure and environmental challenges, ultimately enhancing the city’s livability.Speech technology is crucial for improving communication and accessibility in diverse communities. Multilingual voice recognition and synthesis systems break down language barriers, aiding authorities and citizens.To integrate governance, speech tech, and IoT in Shahjahanabad, partnerships between government, businesses, and communities are essential. Robust cybersecurity and digital literacy programs are needed to protect data and ensure inclusion.Good governance principles are vital for sustainable development. Speech tech enhances communication, and IoT optimizes urban planning. Collaboration, cybersecurity, and digital literacy are key for success in the sustainable development of the heritage city of Shahjahanabad.