Dr Michael Zbyszyński

Staff details

Position Lecturer
Department Computing
Email M.Zbyszynski (@gold.ac.uk)
Phone +44 (0)20 078 5162
Dr Michael Zbyszyński

Michael Zbyszyński is the Co-Convenor of the Electronic Music, Computing & Technology program. He teaches perception & multimedia computing, digital signal processing, music information retrieval, live electroacoustic music, and real-time interaction. His research involves applications of interactive machine learning to musical instrument design and performance.

As a musician, his work spans from brass bands to symphony orchestras, including composition and improvisation with woodwinds and electronics. He has been a software developer at Avid, SoundHound, Cycling ’74, and Keith McMillen Instruments, and was Assistant Director of Pedagogy at UC Berkeley’s Center for New Music and Audio Technologies (CNMAT). His work has been included in Make Magazine, the Rhizome Artbase, and on the ARTSHIP recording label.

Academic qualifications

  • PhD, Music Composition, University of California, Berkeley 2000
  • Fulbright Fellow, Academy of Music, Kraków 1998
  • BA, Music, New York University 1992

Teaching and Supervision

Research interests

His research involves applications of interactive machine learning to musical instrument design and performance.

Publications

Book Section

Zbyszynski, Michael ; Di Donato, Balandino ; Visi, Federico and Tanaka, Atau . 2021. Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning & Concatenative Synthesis. In: Richard Kronland-Martinet; Sølvi Ystad and Mitsuko Aramaki, eds. Perception, Representations, Image, Sound, Music. Springer International Publishing. ISBN 9783030702090

Zbyszynski, Michael ; Tanaka, Atau and Visi, Federico. 2020. Interactive Machine Learning: Strategies for live performance using Electromyography. In: Hugo Silva, ed. Open Source Biomedical Engineering. Springer.

Article

Bernardo, Francisco ; Zbyszynski, Michael ; Grierson, Mick and Fiebrink, Rebecca . 2020. Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology. Frontiers in Artificial Intelligence, 3(13), pp. 1-18.

Conference or Workshop Item

Zagorac, Slavko and Zbyszynski, Michael . 2020. 'Networked Comprovisation Stratagies with ZScore'. In: Proceedings of the International Conference on Technologies for Music Notation and Representation — TENOR'20. Hochschule für Musik und Theater, Hamburg, Germany.

Plant, Nicola ; Gibson, Ruth; Diaz, Carlos Gonzalez; Martelli, Bruno; Zbyszynski, Michael ; Fiebrink, Rebecca ; Gillies, Marco ; Hilton, Clarice and Perry, Phoenix . 2020. 'Movement Interaction Design for Immersive Media Using Interactive Machine Learning'. In: Proceedings of the 7th International Conference on Movement and Computing. Jersey City, NJ, United States 15 – 17 July 2020.

Zbyszynski, Michael . 2019. 'Instruments & Situations: Machine learning, synthesis & creative coding'. In: FluCoMa Plenary 3. University of Huddersfield, United Kingdom 20 – 23 November 2019.

Zbyszynski, Michael ; Di Donato, Balandino and Tanaka, Atau . 2019. 'Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning & Concatenative Synthesis'. In: 14th International Symposium on Computer Music Multidisciplinary Research (CMMR). Marseille, France 14-18 October 2019.

Grierson, Mick ; Yee-King, Matthew ; McCallum, Louis ; Kiefer, Chris and Zbyszynski, Michael . 2019. 'Contemporary Machine Learning for Audio and Music Generation on the Web: Current Challenges and Potential Solutions'. In: ICMC/NYCEMF 2019. New York, United States 16-23 June 2019.

Di Donato, Balandino ; Tanaka, Atau ; Zbyszynski, Michael and Klang, Martin. 2019. 'EAVI EMG board'. In: New Interfaces for Musical Expression. Porto Alegre, Brazil 3-6 June 2019.

Tanaka, Atau ; Di Donato, Balandino ; Zbyszynski, Michael and Roks, Geert. 2019. 'Designing Gestures for Continuous Sonic Interaction'. In: The International Conference on New Interfaces for Musical Expression. Porto Alegre, Brazil 3-6 June 2019.

Zbyszynski, Michael ; Di Donato, Balandino and Tanaka, Atau . 2019. 'The Effect of Co-adaptive Learning & Feedback in Interactive Machine Learning'. In: ACM CHI: Human-Centered Machine Learning Perspectives Workshop. Glasgow, United Kingdom 4 May 2019.

Zbyszynski, Michael ; Grierson, Mick ; Yee-King, Matthew and Fedden, Leon . 2017. 'Write once run anywhere revisited: machine learning and audio tools in the browser with C++ and emscripten'. In: Web Audio Conference 2017. Centre for Digital Music, Queen Mary University of London, United Kingdom 21-23 August 2017.

Zbyszynski, Michael ; Grierson, Mick and Yee-King, Matthew . 2017. 'Rapid Prototyping of New Instruments with CodeCircle'. In: New Interfaces for Musical Expression. Copenhagen, Denmark 15-18 May 2017.

Bernardo, Francisco ; Zbyszynski, Michael ; Fiebrink, Rebecca and Grierson, Mick . 2016. 'Interactive Machine Learning for End-User Innovation'. In: Designing the User Experience of Machine Learning Systems. Palo Alto, California, United States 27-29 March 2017.

Zbyszynski, Michael ; Zicarelli, David and Collecchia, Regina. 2013. 'fzero~: fundamental estimation for Max 6'. In: International Computer Music Conference. Perth, Australia 12-16 August 2013.

Performance

Zbyszynski, Michael . 2018. Amphitype, for alto flute & interactive electronics. In: "Sonorities", Queens University Belfast, United Kingdom, July 2018.

Zbyszynski, Michael . 2016. Touching the Spring of Air. In: "Noizemaschin London #5", London, United Kingdom, 4 April 2016.

Further profile content

Goldsmiths Research Centres/Groups

Embodied AudioVisual Interaction Group (EAVI)