Federico Visi

Publications

Journal Articles | Conference Papers | Book Chapters | PhD Thesis | Edited

Journal Articles

  • Visi, F., Basso, T., Greinke, B., Wood, E., Gschwendtner, P., Hope, C., & Östersjö, S. (2024). Networking concert halls, musicians, and interactive textiles: Interwoven Sound Spaces. Digital Creativity, 0(0), 1–22. https://doi.org/10.1080/14626268.2024.2311906
  • Tanaka, A., Visi, F., Di Donato, B., Klang, M., & Zbyszyński, M. (2024). An End-to-End Musical Instrument System That Translates Electromyogram Biosignals to Synthesized Sound. Computer Music Journal, 1–40. https://doi.org/10.1162/comj_a_00672
  • Griffiths, A. G. F., Garrett, J. K., Duffy, J. P., Matthews, K., Visi, F. G., Eatock, C., Robinson, M., & Griffiths, D. J. (2021). New Water and Air Pollution Sensors Added to the Sonic Kayak Citizen Science System for Low Cost Environmental Mapping. Journal of Open Hardware, 5(1), 5. https://doi.org/10.5334/joh.35
  • Visi, F. G., Östersjö, S., Ek, R., & Röijezon, U. (2020). Method Development for Multimodal Data Corpus Analysis of Expressive Instrumental Music Performance. Frontiers in Psychology, 11(576751). https://doi.org/10.3389/fpsyg.2020.576751
  • Visi, F., Coorevits, E., Schramm, R., & Miranda, E. R. (2017). Musical Instruments, Body Movement, Space, and Motion Data: Music as an Emergent Multimodal Choreography. Human Technology, 13(1), 58–81. https://doi.org/10.17011/ht/urn.201705272518

Conference Papers

  • Saunier, A., Visi, F., & Jones, M. (2025, September 10). Large Language Models to generate sonic behaviors: The case of Wilding AI in exploring creative co-agency. The AI Music Creativity Conference (AIMC). Zenodo. https://doi.org/10.5281/zenodo.16946605
  • Visi, F. (2024). The Sophtar: A networkable feedback string instrument with embedded machine learning. NIME 2024 Proceedings of the International Conference on New Interfaces for Musical Expression.
  • Ek, R., Östersö, S., Visi, F. G., & Petersson, M. (2021). The TCP/Indeterminate Place Quartet: A Global Hyperorgan Scenario. International Conference on New Interfaces for Musical Expression (NIME).
  • Harlow, R., Petersson, M., Ek, R., Visi, F., & Östersjö, S. (2021). Global Hyperorgan: A platform for telematic musicking and research. NIME 2021, 1–15. https://doi.org/10.21428/92fbeb44.d4146b2d
  • Schramm, R., Visi, F., Brasil, A., & Johann, M. (2018). A polyphonic pitch tracking embedded system for rapid instrument augmentation. In L. Dahl, D. Bowman, & T. Martin (Eds), Proceedings of the International Conference on New Interfaces for Musical Expression (pp. 120–125). Virginia Tech.
  • Dahl, L., & Visi, F. (2018). Modosc: A Library of Real-Time Movement Descriptors for Marker-Based Motion Capture. MOCO ’18 Proceedings of the 4th International Conference on Movement Computing, 1–4. https://doi.org/10.1145/3212721.3212842
  • Visi, F. (2018). SloMo study #2. Proceedings of the 5th International Conference on Movement and Computing, 1–2. https://doi.org/10.1145/3212721.3212890
  • Visi, F., & Dahl, L. (2018). Real-Time Motion Capture Analysis and Music Interaction with the Modosc Descriptor Library. Proceedings of the International Conference on New Interfaces for Musical Expression, 144–147. https://doi.org/10.5281/zenodo.1302707
  • Visi, F., Caramiaux, B., Mcloughlin, M., & Miranda, E. (2017). A Knowledge-based, Data-driven Method for Action-sound Mapping. Proceedings of the International Conference on New Interfaces for Musical Expression.
  • Visi, F. (2016). Tuned Constraint. ICLI 2016 – International Conference on Live Interfaces. https://reframe.sussex.ac.uk/reframebooks/archive2016/live-interfaces/
  • Visi, F., Coorevits, E., & Miranda, E. R. (2015). A practice-based study on instrumental gestures in music composition and performance: Kineslimina. MuSA 2015 – Sixth International Symposium on Music/Sonic Art: Practices and Theories.
  • Visi, F., Coorevits, E., Schramm, R., & Miranda, E. (2015). Instrumental Movements of Neophytes: Analysis of Movement Periodicities, Commonalities and Individualities in Mimed Violin Performance. Proceedings of the 11th International Symposium on Computer Music Multidisciplinary Research (CMMR).
  • Visi, F., Coorevits, E., Miranda, E., & Leman, M. (2014a). Effects of different bow stroke styles on body movements of a viola player: An exploratory study. In A. Georgaki & G. Kouroupetroglou (Eds), Proceedings of the joint ICMC | SMC |2014, 40th International Computer Music Conference, 11th Sound and Music Computing conference (pp. 1368–1374). http://speech.di.uoa.gr/ICMC-SMC-2014/images/VOL{\_}2/1368.pdf
  • Visi, F., Dothel, G., Williams, D., & Miranda, E. (2014b). Unfolding | Clusters: A Music and Visual Media Model of ALS Pathophysiology. Proceedings of SoniHED Conference: Sonification of Health and Environmental Data.
  • Visi, F. G. & AQAXA. (2020). “You have a new memory”. ICLI 2020 – the Fifth International Conference on Live Interfaces. https://media.researchcatalogue.net/rc/master/df/44/5b/e4/df445be4f61d68412dfbf12e44336f1b.pdf?t=f4480b134a62694c92fa244348136840&e=1719580200&f=icli2020_proceedings.pdf
  • Visi, F. G., & Tanaka, A. (2020). Towards Assisted Interactive Machine Learning: Exploring Gesture-Sound Mappings Using Reinforcement Learning. ICLI 2020 – the Fifth International Conference on Live Interfaces, 10–19. https://doi.org/10.5281/zenodo.3928167
  • Visi, F., & Schramm, R. (2019). Introduction. In F. Visi (Ed.), Music proceedings of the international conference on new interfaces for musical expression (p. 4). UFRGS. http://www.nime.org/proceedings/2019/nime2019_music00I.pdf
  • Visi, F., Georgiou, T., Holland, S., Pinzone, O., Donaldson, G., & Tetley, J. (2017). Assessing the Accuracy of an Algorithm for the Estimation of Spatial Gait Parameters Using Inertial Measurement Units. MOCO ’17 Proceedings of the 4th International Conference on Movement Computing, 1–7. https://doi.org/10.1145/3077981.3078034
  • Visi, F., & Miranda, E. R. (2016). Instrumental Movements to Physical Models: Mapping Postural and Sonic Topologies through Machine Learning. Porto International Conference on Musical Gesture as Creative Interface.
  • Visi, F., Schramm, R., & Miranda, E. (2014a). Gesture in performance with traditional musical instruments and electronics. Proceedings of the 2014 International Workshop on Movement and Computing – MOCO ’14, 100–105. https://doi.org/10.1145/2617995.2618013
  • Visi, F., Schramm, R., & Miranda, E. (2014b). Use of Body Motion to Enhance Traditional Musical Instruments: A Multimodal Embodied Approach to Gesture Mapping , Composition and Performance. Proceedings of the International Conference on New Interfaces for Musical Expression, 601–604. http://nime2014.org/proceedings/papers/460{\_}paper.pdf
  • Visi, F., Williams, D., Dothel, G., & Miranda, E. (2014c). An Immersive Media Model of Amyotrophic Lateral Sclerosis. EVA London 2014: Electronic Visualisation and the Arts.
  • Visi, F., Williams, D., Dothel, G., & Miranda, E. (2014d). Musification of ALS Pathophysiology: Notes on Timbre and Spatialisation in Unfolding | Clusters. Proceedings of the 9th Conference on Interdisciplinary Musicology – CIM14, 1–6.

Book Chapters

  • Visi, F., Schramm, R., Frödin, K., Unander-Scharin, Å., & Östersjö, S. (2024). Empirical Analysis of Gestural Sonic Objects Combining Qualitative and Quantitative Methods. In A. R. Jensenius (Ed.), Sonic Design (pp. 115–137). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-57892-2_7
  • Visi, F. G., & Tanaka, A. (2021). Interactive Machine Learning of Musical Gesture. In Handbook of Artificial Intelligence for Music (pp. 771–798). Springer International Publishing. https://doi.org/10.1007/978-3-030-72116-9_27
  • Zbyszyński, M., Di Donato, B., Visi, F. G., & Tanaka, A. (2021). Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 12631 LNCS (pp. 600–622). https://doi.org/10.1007/978-3-030-70210-6_39
  • Visi, F., & Faasch, F. (2018). Motion Controllers, Sound, and Music in Video Games: State of the Art and Research Perspectives. In D. Williams & N. Lee (Eds), Emotion in Video Game Soundtracking (1st edn). Springer International Publishing. https://doi.org/10.1007/978-3-319-72272-6
  • Visi, F. (2017). Augmenting Instruments and Extending Cultures: On the Overtone Violin. In A. R. Jensenius & M. Lyons (Eds), A NIME Reader: Fifteen years of New Interfaces for Musical Expression. Springer International Publishing.
  • Visi, F., Coorevits, E., Schramm, R., & Miranda, E. R. (2016). Analysis of Mimed Violin Performance Movements of Neophytes: Patterns, Periodicities, Commonalities and Individualities. In R. Kronland-Martinet, M. Aramaki, & S. Ystad (Eds), Music, Mind, and Embodiment: 11th International Symposium on Computer Music Multidisciplinary Research, CMMR 2015, Plymouth, UK, June 16-19, 2015, Revised Selected Papers (Vol. 9617, pp. 88–108). Springer International Publishing. https://doi.org/10.1007/978-3-319-46282-0

PhD Thesis

  • Visi, F. (2017). Methods and Technologies for the Analysis and Interactive Use of Body Movements in Instrumental Music Performance, PhD Thesis, Plymouth University.

Edited

  • Visi, F. (Ed.). (2019). Music Proceedings of the International Conference on New Interfaces for Musical Expression. UFRGS. https://www.nime.org/music/