Browse by Goldsmiths authors: Zbyszynski, Michael
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Number of items: 17.
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.
[Article]
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
[Book Section]
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.
[Book Section]
(Forthcoming)
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.
[Conference or Workshop Item]
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.
[Conference or Workshop Item]
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.
[Conference or Workshop Item]
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.
[Conference or Workshop Item]
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.
[Conference or Workshop Item]
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.
[Conference or Workshop Item]
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.
[Conference or Workshop Item]
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.
[Conference or Workshop Item]
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.
[Conference or Workshop Item]
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.
[Conference or Workshop Item]
Performance