Music Intelligence - Second Summit, SOMI 2023, Beijing, China, October 28-30, 2023, Revised Selected Papers

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.

List of contents

Music, 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.

Product details

• Assisted by: Xiaohong Guan (Editor), Xiaobing Li (Editor), Yun Tie (Editor), Yun Tie et al (Editor), Xinran Zhang (Editor), Qingwen Zhou (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 04.02.2024
• EAN: 9789819705757
• ISBN: 978-981-9705-75-7
• No. of pages: 147
• Dimensions: 155 mm x 8 mm x 235 mm
• Illustrations: XII, 147 p. 54 illus., 40 illus. in color.
• Series: Communications in Computer and Information Science
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT