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001 2210080933696
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020 a97898197057649978-981-97-0576-4
024 a10.1007/978-981-97-0576-42doi
040 a221008
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245 00 aMusic Intelligenceh[electronic resource] :bSecond Summit, SOMI 2023, Beijing, China, October 28–30, 2023, Revised Selected Papers /cedited by Xiaobing Li, Xiaohong Guan, Yun Tie, Xinran Zhang, Qingwen Zhou.
250 a1st ed. 2024.
264 aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.
300 aXII, 147 p. 54 illus., 40 illus. in color.bonline resource.
336 atextbtxt2rdacontent
337 acomputerbc2rdamedia
338 aonline resourcebcr2rdacarrier
347 atext filebPDF2rda
490 aCommunications in Computer and Information Science,x1865-0937 ;v2007
505 aMusic, Neural Science and Music Therapy -- Musical Training Induced Changes in Intra- and Inter-network Functional Connectivity -- Research on the Improvement of Children's Attention through Binaural Beats Music Therapy in the Context of AI Music Generation -- Generated Therapeutic Music Based on the ISO Principle -- Multimodality in Music -- Utilizing Quantum Particle Swarm Optimization for Multimodal Fusion of Gestures and Facial Expressions in Ensemble Conducting for Emotional Recognition -- Guqin Jianzi Notation Transcription Based on Language Model -- Music Generation -- Towards the Implementation of an Automatic Composition System for Popular Songs -- CoCoFormer: A Controllable Feature-rich Polyphonic Music Generation Method -- C2-MAGIC: Chord-Controllable Multi-track Accompaniment Generation with Interpretability and Creativity -- HRPE: Hierarchical Relative Positional Encoding for Transformer-based Structured Symbolic Music Generation -- Chinese Chorales Dataset: A High-Quality Music Dataset for Score Generation.
520 aThis book constitutes the refereed proceedings of the Second Summit on Music Intelligence, SOMI 2023, held in Beijing, China, during October 28–30, 2023. The 10 full papers included in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections as follows: Music, Neural Science and Music Therapy, Multimodality in Music and Music Generation.
650 aArtificial intelligence.
650 aArtificial Intelligence.
700 aLi, Xiaobing.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aGuan, Xiaohong.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aTie, Yun.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aZhang, Xinran.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aZhou, Qingwen.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
710 aSpringerLink (Online service)
773 tSpringer Nature eBook
776 iPrinted edition:z9789819705757
776 iPrinted edition:z9789819705771
830 aCommunications in Computer and Information Science,x1865-0937 ;v2007
856 uhttps://doi.org/10.1007/978-981-97-0576-4
912 aZDB-2-SCS
912 aZDB-2-SXCS
950 aComputer Science (SpringerNature-11645)
950 aComputer Science (R0) (SpringerNature-43710)
Music Intelligence[electronic resource] :Second Summit, SOMI 2023, Beijing, China, October 28–30, 2023, Revised Selected Papers /edited by Xiaobing Li, Xiaohong Guan, Yun Tie, Xinran Zhang, Qingwen Zhou
종류
전자책
서명
Music Intelligence[electronic resource] :Second Summit, SOMI 2023, Beijing, China, October 28–30, 2023, Revised Selected Papers /edited by Xiaobing Li, Xiaohong Guan, Yun Tie, Xinran Zhang, Qingwen Zhou
저자명
판 사항
1st ed. 2024.
형태사항
XII, 147 p 54 illus, 40 illus in color online resource.
주기사항
This book constitutes the refereed proceedings of the Second Summit on Music Intelligence, SOMI 2023, held in Beijing, China, during October 28–30, 2023. The 10 full papers included in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections as follows: Music, Neural Science and Music Therapy, Multimodality in Music and Music Generation.
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