Trends and Applications of Conversational AI and Voice-Enabled Technologies - Softcover

Softcover

ISBN 13: 9798337333625

Publisher: Engineering Science Reference, 2026

Synopsis

In an era defined by rapid technological advancements, conversational artificial intelligence (AI) and voice-enabled technologies have emerged as transformative forces across various sectors. From virtual assistants to sophisticated chatbots and automated customer service systems, these technologies are reshaping how we interact with machines and access information. They promise not only enhanced convenience and efficiency but also hold the potential to revolutionize industries ranging from healthcare and education to finance and retail. Trends and Applications of Conversational AI and Voice-Enabled Technologies critically explores trends and applications driving the evolution of conversational AI and voice-enabled technologies. This book examines the underlying technologies powering these innovations, such as natural language processing (NLP), machine learning, and voice recognition. Additionally, it examines case studies and real-world applications that demonstrate the practical impact of these technologies on businesses and society. Covering topics such as emotion and sentiment analysis, context-aware AI assistants, and multilingual conversational AI, this book is an excellent resource for graduate and doctoral students, industry professionals, technology leaders and innovators, policymakers, and more.

About this title

About the Authors

Yash Chawla is an experienced academician, business consultant, and re- searcher with a Ph.D. in Management and Quality Sciences and a strong track record of publishing high-quality research in prestigious journals and also Mem- ber - Academic Iuvenum (The Young Researcher's Academy). 2021-2023, 2023- 2023(re-elected for second term). His interdisciplinary research interests include Sustainable Development, Circular Economy, Diusion of Emerging Technolo- gies, Social Media Communications, Energy Markets and Policies, Business In- telligence & Marketing, and Consumer Awareness & Engagement. He has pub- lished research articles in highly respected journals such as the Journal of Busi- ness Research (JCR I.F. 10.969), Energy Policy (JCR I.F. 7.567), Telematics and Informatics (JCR I.F. 9.14), and Information Processing & Management (JCR I.F. 7.466). He has several manuscripts currently under revision and review in top-tier journals. The author's research contributions have been recognized with awards and honors, including the 2020 Best Young Research in Manage- ment and Quality Sciences at Wroclaw University of Science and Technology under the Secundus Programme.

Shubham Mahajan , a distinguished member of prestigious organizations such as IEEE, ACM, and IAENG, boasts an impressive academic and professional background. He earned his B.Tech. degree from Baba Ghulam Shah Badshah University, his M.Tech. degree from Chandigarh University, his Ph.D. degree from Shri Mata Vaishno Devi University (SMVDU) in Katra, India. Currently, he serves as an Assistant Professor at Amity University, Haryana. Dr. Mahajan has a remarkable track record in the field of artificial intelligence and image processing, holding an impressive portfolio of eighteen Indian patents, as well as one Australian and one German patent. His contributions to the field are further evidenced by his extensive publication record, which includes over 94 articles published in peer-reviewed journals and conferences and 8 edited books. His research interests span a wide array of topics, encompassing image processing, video compression, image segmentation, fuzzy entropy, nature-inspired computing methods, optimization, data mining, machine learning, robotics, and optical communication. Notably, his dedication and expertise have earned him the 'Best Research Paper Award' from ICRIC 2019, published by Springer in the LNEE series. In recognition of his exceptional achievements, Dr. Mahajan has received numerous accolades and honors throughout his career. These include the Best Student Award in 2019, the IEEE Region-10 Travel Grant Award in 2019, the 2nd runner-up prize in the IEEE RAS HACKATHON in 2019 (held in Bangladesh), the IEEE Student Early Researcher Conference Fund (SERCF) in 2020, the Emerging Scientist Award in 2021, and the IEEE Signal Processing Society Professional Development Grant in 2021. His commitment to excellence in research was further underscored by his receipt of the Excellence in Research Award in 2023. Dr. Mahajan's influence extends well beyond academia. He has served as a Campus Ambassador for IEEE, representing prestigious institutions such as IIT Bombay, IIT Kanpur, IIT Varanasi, and IIT Delhi, as well as various multinational corporations. His active participation in fostering international research collaborations highlights his passion for advancing the frontiers of knowledge and innovation on a global scale. Additionally, Dr. Mahajan is a dedicated member of the Technical Program Committee and serves on the Editorial Board for several international conferences and journals.

Akshat Agrawal holds a B.Tech in Computer Science & Engineering from UPTU and an M.Tech from USICT, GGSIPU. He earned his Ph.D. from GGSIPU, Delhi. He is currently working as an Associate Professor at Department of Computer Science & Engineering at JK Laxmipat University, Jaipur. Prior to this he worked at Associate Professor and Cluster Lead at the School of Computer Science & Engineering, IILM University, Gurugram and Before that He worked as an Assistant Professor (Senior Scale) at Amity University Haryana, Amity School of Engineering and Technology. He has published 65 research papers in Scopus/SCIE-indexed international journals and conferences. As part of international academic collaborations, he visited the Technical University of Kosice, Slovakia, and the University of Nova, Portugal, in June 2019 under the CABCIN project (ERASMUS-funded). In May 2023, he received a scholarship to visit the Wroclaw University of Science & Technology, Wroclaw, Poland.

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2026
• Language: English
• ISBN 13: 9798337333625
• Binding: Paperback
• Number of pages: 342
• Editor: Chawla Yash, Mahajan Shubham, Agrawal Akshat