Provides a solid background on concept and model of the acoustics signal and sources
Explores the role of optimization algorithms to improve the DOAE techniques and highlights the concept and principles of the multi-DOAE approaches
Discusses several applications and real-life localization speech sources based on the DOAE approaches

Autorentext

Nilanjan Day was born in Kolkata, India, in 1984. He received his B.Tech. degree in Information Technology from West Bengal University of Technology in 2005, M.Tech. in Information Technology in 2011 from the same University and Ph.D. in digital image processing in 2015 from Jadavpur University, India.

In 2011, he was appointed as an Asst. Professor in the Department of Information Technology at JIS College of Engineering, Kalyani, India followed by Bengal College of Engineering College, Durgapur, India in 2014. He is now employed as an Asst. Professor in Department of Information Technology, Techno India College of Technology, India. His research topic is signal processing, machine learning and information security.

Dr. Dey is an Associate Editor of IEEE Access and is currently the Editor in-Chief of the International Journal of Ambient Computing and Intelligence, International Journal of Rough Sets and Data Analysis, Co-Editor-in-Chief of International Journal of Synthetic Emotion, International Journal of Natural Computing Research, and Series Editor of Advances in Geospatial Technologies Book Series, Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH) Elsevier (Book Series).

Amira S. Ashour was born in Tanta, Egypt, in 1975. She is graduated from Faculty of Engineering, Tanta University, Egypt in 1997. She received her Master degree in Electrical Engineering in 2001from the same university and Ph.D. in smart antenna in 2005 from the Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt.

In 2005, she was appointed as a lecturer in the Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt. She was the Vice Chair of CS department, CIT College, Taif University, KSA from 2009 till 2015. She was the Vice Chair of Computer Engineering Department, Computers andInformation Technology College, Taif University, KSA for one year in 2015. She is now employed as an Assistant Professor and Head of Department in Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt. Her research topics are smart antenna, direction of arrival estimation, targets tracking, image processing, medical imaging, machine learning, and image analysis.

Klappentext

This book presents research and applications on arrival estimation and localization in speech processing to ensure that the broad vision of the direction of arrival estimation (DOAE) / localization of speech sources is well-established. The book first provides a brief overview of the most classical direction of arrival estimation and localization techniques. It then introduces the concept and model of acoustics sources and then highlights the most contemporary studies on this pervasive problem. In addition, the authors explore employing the optimization algorithms to improve the DOAE techniques. The book then highlights the concept and principles of the multi-DOAE approaches. Using a microphone array, the book introduces the localization and tracking problem of multiple speech/acoustic sources. It includes several applications and real-life speech sources localization based on the DOAE approaches. The book reports the challenges facing the DOAE techniques in speech-sources localization. The book pertains to researchers, designers, and engineers in speech processing fields.

Inhalt
Introduction.- Background on Acoustics/Speech Signal.- Sources Localization and DOAE Techniques.- Multi-Source Direction of Arrival Estimation Techniques. Applications of Localization and Tracking Problem of Multiple Speech Sources.- Challenges and Future perspectives in speech-sources DOAE and localization.- Conclusion.