TY  - GEN
AB  - 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).
AU  - Shao, Xi,
AU  - Qian, Kun,
AU  - Zhou, Li,
AU  - Wang, Xin,
AU  - Zhao, Ziping,
CN  - ML1380
DO  - 10.1007/978-981-16-1649-5
DO  - doi
ID  - 1436040
KW  - Computer music
KW  - Acoustical engineering
KW  - Acoustique appliquée
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-1649-5
N1  - Includes author index.
N2  - 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).
SN  - 9789811616495
SN  - 9811616493
T1  - Proceedings of the 8th Conference on Sound and Music Technology :Selected Papers from CSMT /
TI  - Proceedings of the 8th Conference on Sound and Music Technology :Selected Papers from CSMT /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-1649-5
VL  - volume 761
ER  -