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Intelligent Instruments: Understanding 21st-Century AI Through Creative Music Technologies

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Explainable AI in Music Performance: Case Studies from Live Coding and Sound Spatialisation

Author(s): Jack Armitage, Nicola Privato, Victor Shepardson, Celeste Betancur Gutierrez
Published in: NeurIPS 2023, the Thirty-seventh Annual Conference on Neural Information Processing Systems, 2023
Publisher: NeurIPS

The Magnetic Score: Somatosensory Inscriptions and Relational Design in the Instrument-Score

Author(s): Nicola Privato, Thor Magnusson and Einar Torfi Einarsson
Published in: 8th International Conference on Technologies for Music Notation and Representation, 2023
Publisher: Northeastern University

Studying Subtle and Detailed Digital Lutherie: Motivational Contexts and Technical Needs

Author(s): Jack Armitage, Thor Magnusson and Andrew McPherson
Published in: International Conference on New Interfaces for Musical Expression, 2023
Publisher: Biblioteca Vasconcelos and Centro de Cultura Digital

Autocoder: a Variational Autoencoder for Spectral Synthesis

Author(s): David Brynjar Franzson, Thor Magnusson, and Victor Shepardson
Published in: Proceedings of International Computer Music Conference, 2022
Publisher: University of Limerick

Sardine: a Modular Python Live Coding Environment

Author(s): Raphaël Maurice Forment & Jack Armitage
Published in: 7th International Conference on Live Coding, 2023
Publisher: ICLC

Exploring XAI for the Arts

Author(s): Nick Bryan-Kinns, Berker Banar, Corey Ford, Courtney N. Reed, Yixiao Zhang, Simon Colton, and Jack Armitage
Published in: st Workshop on eXplainable AI approaches for debugging and diagnosis at the NeurIPS conference., 2021
Publisher: NeurIPS conference

Ritualistic Approach to Sonic Interaction Design: A Poetic Framework for Participatory Sonification (opens in new window)

Author(s): Robin Morabito, Jack Armitage, Thor Magnusson
Published in: Proceedings of 2022 International Conference on Auditory Display (ICAD), 2022
Publisher: Georgia Tech Library
DOI: 10.21785/icad2022.018

Bela-IREE: An Approach to Embedded Machine Learning for Real-Time Music Interaction

Author(s): Ezra Pierce, Victor Shepardson, Jack Armitage, and Thor Magnusson
Published in: AIMC 2023 Proceedings, 2023
Publisher: University of Sussex

A Context-Sensitive Approach to XAI in Music Performance (opens in new window)

Author(s): Nicola Privato, Jack Armitage
Published in: The 1st International Workshop on Explainable AI for the Arts (XAIxArts),, Issue ACM Creativity and Cognition (CC), 2023
Publisher: Association for Computing Machinery.
DOI: 10.48550/arxiv.2309.04491

The Living Looper: Rethinking the Musical Loop as a Machine Action-Perception Loop

Author(s): Victor Shepardson and Thor Magnusson
Published in: Proceedings of the International Conference on New Interfaces for Musical Expression, 2023
Publisher: Biblioteca Vasconcelos and Centro de Cultura Digital

A Scale-Based Ontology of Digital Musical Instrument Design

Author(s): Jack Armitage, Thor Magnusson and Andrew McPherson
Published in: Proceedings of the International Conference on New Interfaces for Musical Expression, 2023
Publisher: Biblioteca Vasconcelos and Centro de Cultura Digital

Agential Scores: Exploring Emergent, Self-Organising and Entangled Music Notation

Author(s): Jack Armitage and Thor Magnusson
Published in: 8th International Conference on Technologies for Music Notation and Representation, 2023
Publisher: Northeastern University

Reflexions upon Feedback: A Study of Feedback Musicianship Terminology (opens in new window)

Author(s): Thor Magnusson, Chris Kiefer, and Halldor Ulfarsson
Published in: Proceedings of 2022 New Interfaces for Musical Expression (NIME) Conference, 2022
Publisher: The University of Auckland
DOI: 10.21428/92fbeb44.aa7de712

The A in AIMC

Author(s): Thor Magnusson
Published in: AIMC 2023 Proceedings, Issue August 29, 2023, 2023
Publisher: University of Sussex

Ergodynamics of String Feedback: Control interface design for the halldorophone

Author(s): Halldor Ulfarsson, Thor Magnusson and Orfeas Moraitis
Published in: Proceedingx of the International Conference on New Interfaces for Musical Expression, 2023
Publisher: Biblioteca Vasconcelos and Centro de Cultura Digital

Design Process in Visual Programming: Methods for Visual and Temporal Analysis

Author(s): Jack Armitage, Thor Magnusson and Andrew McPherson
Published in: Proceedings of the Sound and Music Computing Conference, 2023
Publisher: KMH Royal College of Music

Magnetic Interactions as a Somatosensory Interface

Author(s): Nicola Privato, Thor Magnusson and Einar Torfi Einarsson
Published in: Proceedings of the International Conference on New Interfaces for Musical Expression, 2023
Publisher: Biblioteca Vasconcelos and Centro de Cultura Digital

The Proto-Langspil: Launching an Icelandic NIME Research Lab with the Help of a Marginalised Instrument (opens in new window)

Author(s): Jack Armitage, Thor Magnusson, Victor Shepardson, and Halldor Ulfarsson
Published in: Proceedings of the International Conference on New Interfaces for Musical Expression, 2022
Publisher: The University of Auckland
DOI: 10.21428/92fbeb44.6178f575

Sculpting Algorithmic Pattern: Informal and Visuospatial Interaction in Musical Instrument Design

Author(s): Jack Armitage, Thor Magnusson and Andrew McPherson
Published in: Proceedings of the Sound and Music Computing Conference, 2023
Publisher: KMH Royal College of Music

Editorial: Live Coding Sonic Creativities (opens in new window)

Author(s): Anna Xambo, Gerard Roma and Thor Magnusson
Published in: Organised Sound, 2023, ISSN 1355-7718
Publisher: Cambridge University Press
DOI: 10.1017/s135577182300047x

Live Coding: A User's Manual (opens in new window)

Author(s): Alan F. Blackwell, Emma Cocker, Geoff Cox, Alex McLean and Thor Magnusson
Published in: Software Studies, 2022, ISBN 9780262544818
Publisher: MIT Press
DOI: 10.7551/mitpress/13770.001.0001

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