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|a 9789811947032
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1 |
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|a Shao, Xi
|e [editor]
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245 |
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|a Proceedings of the 9th Conference on Sound and Music Technology
|h Elektronische Ressource
|b Revised Selected Papers from CMST
|c edited by Xi Shao, Kun Qian, Xin Wang, Kejun Zhang
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250 |
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|a 1st ed. 2023
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260 |
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|a Singapore
|b Springer Nature Singapore
|c 2023, 2023
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300 |
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|a VIII, 149 p. 65 illus., 56 illus. in color
|b online resource
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505 |
0 |
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|a Music Acoustics -- Audio and Music Signal Processing -- Computer Audition -- Computer Music and Sound Recording -- Audio Information Security -- Auditory Psychology -- Audio for Healthcare
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653 |
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|a Mathematics in Music
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653 |
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|a Speech and Audio Processing
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653 |
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|a Theory of Music
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653 |
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|a Engineering Acoustics
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653 |
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|a Music theory
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653 |
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|a Music / Mathematics
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653 |
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|a Speech processing systems
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653 |
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|a Signal processing
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653 |
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|a Acoustical engineering
|
700 |
1 |
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|a Qian, Kun
|e [editor]
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700 |
1 |
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|a Wang, Xin
|e [editor]
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700 |
1 |
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|a Zhang, Kejun
|e [editor]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
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|a Lecture Notes in Electrical Engineering
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028 |
5 |
0 |
|a 10.1007/978-981-19-4703-2
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856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-19-4703-2?nosfx=y
|x Verlag
|3 Volltext
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082 |
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|a 621.382
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520 |
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|a The book presents selected papers at the 9th Conference on Sound and Music Technology (CSMT) held virtually in June 2022, organized by Zhejiang University, 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 book, 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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