Discover how listening to the planet’s hidden soundscapes can revolutionize conservation with this groundbreaking guide showing how acoustic data is driving the next wave of environmental technology and sustainability.

As the human population grows, it is becoming increasingly enmeshed with the environment. The emerging field of eco-acoustics analyzes the relationship between human-made and natural soundscapes from an ecological perspective. This book delves into how these soundscapes interact, influencing biodiversity, environmental monitoring, and sustainability efforts. It presents an interdisciplinary approach, combining principles from ecology, bioacoustics, artificial intelligence, and environmental science to offer a comprehensive understanding of how sound can be harnessed for conservation and technological innovation.

The book introduces foundational concepts before advancing into emerging trends such as machine learning-driven sound analysis, real-time acoustic monitoring, and bio-inspired auditory technologies. Case studies and real-world applications highlight how eco-acoustic intelligence is being used to track species populations, detect environmental changes, and develop smart conservation strategies. The book also discusses ethical considerations, technological challenges, and future directions in the field, ensuring a well-rounded exploration of its subject matter. By integrating cutting-edge research with practical applications, the book provides insights into the role of acoustic data in assessing ecosystem health, mitigating noise pollution, and shaping policies for a more sustainable future.

Chandra Singh is an Assistant Professor in the Department of Electronics and Communication at the Nitte Mahalinga Adyantaya Memorial Institute of Technology, Nitte, India with more than six years of experience. He has published nine books, 15 book chapters, more than 20 research articles, and holds 11 patents. His research interests include optical networking and communication, wireless communication, intelligent systems, IoT, and robotics.

Navaneeth Bhaskar, PhD is a faculty member in the Department of Artificial Intelligence and Data Science at Nitte Mahalinga Adyantaya Memorial Institute of Technology, Nitte, India. He has delivered numerous technical talks, published extensively in journals and conferences, and filed several patents in India and abroad. His research interests include artificial intelligence, machine learning, data analytics, IoT, and signal processing.

Shwetha N., PhD is an Assistant Professor in the Department of Electronics and Communication Engineering at the Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India. She earned her doctorate from Visveswaraya Technological University. Her research interests include signal processing, computational intelligence, communication, artificial neural networks, and wireless sensor networks.

Canute Sherwin, PhD is an Assistant Professor in the Department of E-Mobility at Atria University, Bengaluru, India with more than 12 years of experience. He has authored more than 14 peer-reviewed research articles and two book chapters. His research focuses on metal coatings, electrochemistry, grain refinement, alloy modification, sustainable technologies, and mechatronic systems.