Overview
- Presents selected papers at the 8th Conference on Sound and Music Technology (CSMT) in November 2020, held in Taiyuan, Shanxi, China
- Covers a wide range topic from speech, signal processing, music understanding, machine learning and signal processing for advanced medical diagnosis and treatment applications
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 761)
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Conference proceedings info: CSMT 2020.
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About this book
The book presents selected papers at the 8th Conference on Sound and Music Technology (CSMT) held in November 2020, at Taiyuan, Shanxi, China. CSMT is a multidisciplinary conference focusing on audio processing and understanding with bias on music and acoustic signals. The primary aim of the conference is to promote the collaboration between art society and technical society in China. In this proceeding, the paper included covers a wide range topic from speech, signal processing, music understanding, machine learning and signal processing for advanced medical diagnosis and treatment applications; which demonstrates the target of CSMT merging arts and science research together.its content caters to scholars, researchers, engineers, artists, and education practitioners not only from academia but also industry, who are interested in audio/acoustics analysis signal processing, music, sound, and artificial intelligence (AI).
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Keywords
Table of contents (17 papers)
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Front Matter
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Computational Musicology
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Front Matter
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General Audio Signal Processing
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Front Matter
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Animal Sound Analysis
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Front Matter
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Computer Audition for Healthcare
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Front Matter
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CSMT 2020 Challenge Papers
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Front Matter
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Other volumes
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Proceedings of the 8th Conference on Sound and Music Technology
Editors and Affiliations
Bibliographic Information
Book Title: Proceedings of the 8th Conference on Sound and Music Technology
Book Subtitle: Selected Papers from CSMT
Editors: Xi Shao, Kun Qian, Li Zhou, Xin Wang, Ziping Zhao
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-16-1649-5
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-1648-8Published: 25 April 2021
Softcover ISBN: 978-981-16-1651-8Published: 26 April 2022
eBook ISBN: 978-981-16-1649-5Published: 24 April 2021
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XII, 210
Number of Illustrations: 29 b/w illustrations, 65 illustrations in colour
Topics: Signal, Image and Speech Processing, Engineering Acoustics, Mathematics in Music, Music