title: Visualizing the semantic structure in classical music works.
abstract: A major obstacle in the appreciation of classical music is that extensive training is required to understand musical structure and compositional techniques toward comprehending the thoughts behind the musical work. In this paper, we propose an innovative visualization solution to reveal the semantic structure in classical orchestral works such that users can gain insights into musical structure and appreciate the beauty of music. We formulate the semantic structure into macrolevel layer interactions, microlevel theme variations, and macro-micro relationships between themes and layers to abstract the complicated construction of a musical composition. The visualization has been applied with success in understanding some classical music works as supported by highly promising user study results with the general audience and very positive feedback from music students and experts, demonstrating its effectiveness in conveying the sophistication and beauty of classical music to novice users with informative and intuitive displays.
authors.affiliation: Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong. winnie.chan@family.ust.hk
authors.forename: Wing-Yi
authors.initials: WY
authors.lastname: Chan
authors.forename: Huamin
authors.initials: H
authors.lastname: Qu
authors.forename: Wai-Ho
authors.initials: WH
authors.lastname: Mak
mesh_terms: D003196:Computer Graphics; D003198:Computer Simulation; D008962:Models, Theoretical; D009146:Music; D012660:Semantics; D013018:Sound Spectrography / Q000379:methods*; D014584:User-Computer Interface