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Special Issue "Advances in Computer Music"
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 12250
Special Issue Editor
Interests: time series; multiobjective; computer music; signal processing; genomics
Special Issue Information
Computer music has been a flourishing and exciting field of study for more than half of a century. This domain entails a unique diversity in the scientific fields that it reaches. Indeed, it collides artistic, scientific, and technological research visions to generate, model, and comprehend music through electronic artefacts and mathematical theories. Doing so requires the development of methods from mathematics, computer science, signal processing, cognition, musicology, and psychology. The field of computer music has already had a tremendous impact on the contemporary and popular artistic scene, such as through the pervasive use of musical synthesizer technologies.
The field of computer music itself is constantly moving and posing new theoretical and technological challenges, with unique interdisciplinary considerations. As most fields, it now faces a renewed momentum in the wake of artificial intelligence and machine learning approaches, which play an increasingly prominent role in music composition, performance, and production. The use of such technologies for creativity appear in a natural continuity to the artistic trend of this century. Through the understanding of musical creativity, most of the current challenges in machine learning are found: the question of temporality, hierarchical structures, and the lack of a formal goal in creativity. These exciting issues of addressing the question of creative intelligence through music could give rise to a whole new category of generic creative learning systems.
We are inviting the submission of manuscripts to this Special Issue on “Advances in Computer Music.” This Special Issue aims to cover large aspects of computational creativity applied to music, both in the recent trends of artificial intelligence, machine learning, and generative models applied to music, but also recent cutting-edge innovations in more traditional fields of mathematical modeling, sound synthesis and transformation, innovative interfaces for music expression, computer-based music composition and analysis and any other scientific approach aiming to challenge and push forward the limits of human creativity in music.
Dr. Philippe Esling
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Computer Music
- Automatic music generation and composition
- Music performance and improvisation
- Creative artificial intelligence
- Machine learning applied to music
- Learning or modeling music style and structure
- Computer music languages and software
- Computer-based music analysis
- Transforming musical material
- Sound synthesis and modification
- Automatic synthesizer design
- Adaptive music generation systems
- Computational creativity for music
- Computational musicology
- Mathematical music theory
- Music games and educational tools
- Interactive performance systems
- Novel interfaces for music expression
- Music control and performance
- Music cognition