Proceedings of the 8th Conference on Sound and Music Technology [electronic resource] : Selected Papers from CSMT / edited by Xi Shao, Kun Qian, Li Zhou, Xin Wang, Ziping Zhao.
Contributor(s): Shao, Xi [editor.] | Qian, Kun [editor.] | Zhou, Li [editor.] | Wang, Xin [editor.] | Zhao, Ziping [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Electrical Engineering: 761Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XII, 210 p. 94 illus., 65 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811616495.Subject(s): Speech processing systems | Signal processing | Acoustical engineering | Music—Mathematics | Music | Speech and Audio Processing | Engineering Acoustics | Mathematics in Music | MusicAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access onlineMusic Acoustics -- Audio and Music Signal Processing -- Computer Audition -- Computer Music and Sound Recording -- Audio Information Security -- Auditory Psychology -- Audio for Healthcare.
The book presents selected papers at the 8th Conference on Sound and Music Technology (CSMT) in November 2020, held in 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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