Overview
- Presents comprehensive coverage of the interdisciplinary aspects of speech and music processing
- Offer detailed technological insights and a deep understanding of speech and music processing applications by considering both theory and practice in the relevant topics
- Topics include music information retrieval and spoken language processing
Part of the book series: Signals and Communication Technology (SCT)
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Table of contents (21 chapters)
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Front Matter
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State-of-the-Art
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Front Matter
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Machine Learning
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Front Matter
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Perception, Health and Emotion
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Front Matter
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Case Studies
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Front Matter
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Keywords
About this book
Editors and Affiliations
About the editors
Prof. Dr. Emile Wennekes is Chair Professor of Musicology at Utrecht University, The Netherlands. He was appointed full professor there in 2000. From 2006 to 2011, he was the first Head of the School of the Media and Culture Studies department. In 2017, his chair was modified from Musicology: Post-1800 Music History into Musicology: Music and Media, now also officially embracing his main field of research. Wennekes has written on a broad range of subjects, including a co-authored book on contemporary Dutch music available in six languages. His work has been published by, among others, Oxford University Press, Routledge, Michigan University Press, and Brepols. Most recently, he edited the volume Cinema Changes: Incorporation of Jazz in the Film Soundtrack (Brepols 2019) together with Dr. Emilio Audissino. Wennekes founded and chairs the Study Group Music and Media (MaM) under the auspices of the International Musicological Society. He coordinates its annual conferences.
Dr. Alicja A. Wieczorkowska Ph.D., D.Sc., is a computer scientist, specializing in audio signal analysis. She holds a Ph.D. from the Gdansk University of Technology, and additionally she is the alumna of the State School of Music (Second Level). Her Ph.D. thesis examined the automatic recognition of musical instrument sounds, depending on parameterization and classifiers applied. Dr. A. Wieczorkowska is presently Associate Professor and Head of Multimedia Laboratory at the Polish-Japanese Academy of Information Technology, Warsaw, Poland. Additionally, she is also an associate member of the Graduate Faculty at the University of North Carolina at Charlotte. Her scientific interests include audio information retrieval, music and speech processing, data mining, as well as computer graphics, multimedia, and automated identification of emotions from various signals.
Dr. Rabul Husain Laskar received his PhD degree in Electronics & Communication Engineering from National Institute of Technology Silchar, India, in 2013. He has received his M.Tech. and B.E. degrees in Electronics and Communication Engineering and Electrical Engineering from Indian Institute of Technology, Guwahati, India, in 2007, and National Institute of Technology, Silchar, Assam, in 1998, respectively. He is currently working as Associate Professor in the Department of Electronics & Communication Engineering, National Institute of Technology Silchar, Assam, India. He has published several research papers in reputed international journals, conference, and book chapters. His research interests include speech and audio processing, image and video processing, multimedia systems, biomedical signal processing, machine learning and soft computing techniques. He has served as technical program committee member and session chairs in different national and International Conferences.Bibliographic Information
Book Title: Advances in Speech and Music Technology
Book Subtitle: Computational Aspects and Applications
Editors: Anupam Biswas, Emile Wennekes, Alicja Wieczorkowska, Rabul Hussain Laskar
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-3-031-18444-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-18443-7Published: 02 January 2023
Softcover ISBN: 978-3-031-18446-8Published: 03 January 2024
eBook ISBN: 978-3-031-18444-4Published: 01 January 2023
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: XVII, 443
Number of Illustrations: 34 b/w illustrations, 120 illustrations in colour
Topics: Signal, Image and Speech Processing, Engineering Acoustics, Music