This paper constructs a tree structure for the music rhythm using the L-system. It models the structure as an automata and derives its complexity. It also solves the complexity for the L-system. This complexity can resolve the similarity between trees. This complexity serves as a measure of psychological complexity for rhythms. It resolves the music complexity of various compositions including the Mozart effect K488.
Keyword: music perception, psychological complexity, rhythm, L-system, automata, temporal associative memory, inverse problem, rewriting rule, bracketed string, tree similarity
Musical Rhythm Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions
Graduate School of Informatics, Kyoto University（京都大学信息学研究生院）；The Hakubi Center for Advanced Research, Kyoto University（京都大学白眉高级研究中心）；AIP Center for Advanced Intelligence Project, RIKEN（理化学研究所高级智能项目AIP中心）
Align Your Rhythm: Generating Highly Aligned Dance Poses with Gating-Enhanced Rhythm-Aware Feature Representation
College of Computer Science and Technology, Harbin Engineering University（哈尔滨工程大学计算机科学与技术学院）；Shanghai Academy of Artificial Intelligence for Science（上海人工智能科学研究院）；School of Intelligence Science and Technology, Nanjing University（南京大学智能科学与技术学院）；State Key Laboratory of Space-Ground Integrated Information Technology（空间地面一体化信息技术创新实验室）
R&B -- Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity
Department of Biomedicine and Prevention University of Rome Tor Vergata（生物医学与预防系罗马大学托尔维加塔分校）；A.A. Martinos Center for Biomedical Imaging Harvard Medical School/MGH, Boston (US)（A.A. Martinos生物医学成像中心哈佛医学院/马萨诸塞总医院，波士顿（美国））
MIRA: A Musical Intent Refinement Agent for Aligning Text-to-Music Generation with User Intent
Shandong University（山东大学）；University of Science and Technology of China（中国科学技术大学）；Central Conservatory of Music（中央音乐学院）；Kunlun Tech Co. Ltd.（昆仑万维科技股份有限公司）；Shanghai Jiao Tong University（上海交通大学）
On the Human and Computer Alignment of Attribute-Based Music Matches
Music Technology Group, Universitat Pompeu Fabra（庞培法布拉大学音乐技术组）；Sony AI（索尼人工智能公司）；Joint Research Centre, European Commission（欧盟委员会联合研究中心）；Sony Group Corporation（索尼集团公司）
