Stefano Kalonaris
A researcher interested in creative & critical uses of technology for music generation, performance, and analysis. Currently a member of the Music Information Intelligence Team, Riken AIP (JP), and the AI Music Creativity (AIMC) research forum, he has also been a visiting researcher at Sensilab, Monash University (AU) and the Computer Music Group, IME, University of São Paulo (BR).
Publications
Conference Proceedings
- Kalonaris S., Tōkyō Kion-On: Query-Based Generative Sonification of Atmospheric Data. In Proceedings of the 27th International Conference on Auditory Display (ICAD), Online, 2022.
- Kalonaris S., A Study on Noise, Complexity, and Audio Aesthetics. In: Martins, T., Rodríguez-Fernández, N., Rebelo, S.M. (eds) Artificial Intelligence in Music, Sound, Art and Design. EvoMUSART 2022. Lecture Notes in Computer Science, vol 13221. Springer, Cham. https://doi.org/10.1007/978-3-031-03789-4_23, 2022.
- Nichols E., Kalonaris S., Micchi G. & Aljanaki A., Modeling Baroque Two-Part Counterpoint with Neural Machine Translation. In Proceedings of the International Computer Music Conference (ICMC), Santiago, Chile, 2021.
- Kalonaris S., Renwick R & Zannos I., Poking Holes: Distributed Ambivalence and Aesthetics in Sound Networks. In Proceedings of the 9th Conference on Computation, Communication, Aesthetics & X (xCoAx), Graz, Austria, 2021.
- Kalonaris S. & Zannos I., High-Order Surrogacy for the Audiovisual Display of Dance. In Proceedings of the 26th International Conference on Auditory Display (ICAD), Online, 2021.
- Kalonaris S., A Scheme for Music Interaction Design and Notation Based on Dynamic Sociometry. In Proceedings of the International Conference on Technologies for Music Notation and Representation TENOR’20-21, Hamburg, Germany, 2021.
- Kalonaris S., Re Sound Art Machines and Aesthetics. In Proceedings of Art Machines 2: International Symposium on Machine Learning and Art, Hong Kong, 2021.
- Kalonaris S. & Aljanaki A., Meet HER: A Language-based Approach to Generative Music Systems Evaluation. In Proceedings of the Joint Conference on AI Music Creativity (AIMC). Royal Institute of Technology, Stockholm, Sweden, 2020.
- Kalonaris S., McLachlan T. & Aljanaki A., Computational Linguistics Metrics for the Evaluation of Two-part Counterpoint Generated with Neural Machine Translation. In Proceedings of the First Workshop on NLP for Music and Audio (NLP4MusA), Association for Computational Linguistics, 2020.
- Kalonaris S., Evolutionary Games for Audiovisual Works: Exploring the Demographic Prisoner’s Dilemma. In: Ekárt A., Liapis A., Castro Pena M. (eds) Computational Intelligence in Music, Sound, Art and Design. EvoMUSART 2019. Lecture Notes in Computer Science, vol 11453. Springer, Cham. https://doi.org/10.1007/978-3-030-16667-0_7, 2019.
- Kalonaris S., Gifford T. & Brown A., Computational Aesthetics and Music: the Ugly, the Small and the Boring. In Proceedings of the 7th International Workshop on Musical Metacreation (MuMe), Charlotte, USA, 2019.
- Kalonaris S., Interaction-based Analysis of Freely Improvised Music. In Proceedings of the 16th Sound & Music Computing Conference (SMC), Malaga, Spain, 2019.
- Kalonaris S., Evolutionary Dynamics and Computational Aesthetics: Experiments in minimalist blends. In Proceedings of Electronic Imaging and Visual Arts (EVA), Florence, Italy, 2019.
- Kalonaris S., Audiovisual Experiments with Evolutionary Games, and the Evolution of a Work-in-progress. In Proceedings of the International Symposium on ComputationalMedia Art (ISCMA), Hong Kong, 2019.
- Kalonaris S. & Jordanous A., Computational Music Aesthetics: a survey and some thoughts. In Proceedings of the 3rd Conference on Computer Simulation of Musical Creativity (CSMC), Dublin, UK, 2018.
- Gifford T., Knotts S., Kalonaris S. & McCormack J., Evaluating Improvisational Interfaces. In Proceedings of the Improvisational Creativity Workshop, Monash University, Prato, Italy, 2017.
- Kalonaris S., Dory: a purposively flawed and forgetful artificial musical agent. In Proceedings of the 2nd Conference on Computer Simulation of Musical Creativity (CSMC), Milton Keynes, UK, 2017.
- Kalonaris S., Adaptive specialisation and music games on networks. In Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research (CMMR), Matosinhos, Portugal, pp. 420–429, 2017.
- Kalonaris S., Markov Networks for Free Improvisers. In Proceedings of the 42nd International Computer Music Conference (ICMC), Utrecht, pp. 182–186, 2016.
Journals
- Kalonaris S., On Xenakis's Games of Musical Strategy. MusMat: Brazilian Journal of Music and Mathematics, Vol. 6(2), pp. 56–71, 2022.
- Aljanaki A., Kalonaris S., Micchi G. & Nichols E., MCMA: A Symbolic Multitrack Contrapuntal Music Archive. Empirical Musicology Review, Vol. 16(1), pp. 99–105, 2021.
- Kalonaris S. & Scott D., Athelstan Sound: Dialogic listening, inclusion and community. Contemporary Music Review, Vol. 38(5), pp. 518–520, 2019.
- Kalonaris S., Beyond schemata in collective improvisation: a support tool for music interactions. Leonardo Music Journal, Vol. 28, pp. 34–37, 2018.
- Kalonaris S., Satisficing goals and methods in human-machine music improvisations: experiments with Dory. Journal of Creative Music Systems, Vol. 2(2), 2018.
- Gifford T., Knotts S., McCormack J., Kalonaris S., Yee-King M. & d'Inverno M., Computational systems for music improvisation. Digital Creativity, Vol. 29(1), pp. 19–36, 2018.
- McArthur A. & Kalonaris S., Foregrounding expectation: spatial sound-image composition in virtual environments. The New Soundtrack, Vol. 7(2), pp. 95–110, 2017.
Book Chapters
- Kalonaris S., Adaptive Markov Network: a music game piece for free improvisers. In Collaborative and Distributed Processes in Contemporary Music-Making, Redhead, L. and Glover, R. (ed.), Cambridge Scholars Press, 2018.
Talks & Lectures
- Deep Learning for Music Applications. Graduate School of Information Science and Technology, University of Tokyo, Japan, 2022.
- Mutualism and soundscape ecology for the auditory display of data. TAma Music and Arts Festival (TAMA), Meisei University, Tokyo, Japan, 2021.
- Agent-based Models & Evolutionary Computation for the Simulation of Musical Creativity. Computational Creativity Lab, Keio University, Fujisawa, Japan, 2020.
- Human-Machine Musical Creativity. Computational Creativity Lab, Keio University, Fujisawa, Japan, 2019.
- Computational Aesthetics and Music. Sensilab, Faculty of Information Technology, Monash University, Melbourne, Australia, 2019. Read the blog.
- Two-mode musical networks: a conceptual blend for systemic interaction. The Power of Musical Networks, Orpheus Institute, Ghent, Belgium, 2018.
- Purposive suboptimal listening and learning in human-machine improvisations. Interactive Audio Lab, Northwestern University, Evanston, Illinois, USA, 2017.
- Game-theoretical approaches to systemic music improvisation. École des Hautes Études en Sciences Sociales (EHESS), Paris, France, 2017.
- Silence and sound as notional trust: Bayesian games in networked music performance. Tracking the Creative Process in Music, Huddersfield University, Huddersfield, UK, 2017.
- Issues in the Evaluation of Creative Music Systems. Conference on Computer Simulation of Musical Creativity (CSMC) The Open University, Milton Keynes, UK, 2017.
Service
Committees
- Steering Committee, AI Music Creativity (AIMC), 2022 – Present.
- Conference Chair, 3rd Conference on AI Musical Creativity, Online, Anywhere, 2022.
- Scientific Committee, 2nd Conference on AI Musical Creativity, Institute of Electronic Music and Acoustics (IEM), Graz, Austria, 2021.
Reviews
- Journal of Creative Music Systems (JCMS)
- Leonardo Music Journal (LMJ)
- Digital Creativity
- International Society for Music Information Retrieval (ISMIR). Note: Best Reviewer Award in 2020.
- International Conference on New Interfaces for Musical Expression (NIME)
- International Conference on Auditory Display (ICAD)
- Conference on AI Music Creativity (AIMC)
- Data Art for Climate Action (DACA)