Publications

The Team
Publications and Research

Articles, papers, and workshops across EMAI’s research areas.

Filter by theme to related publications.

2026

Conference paper

WÆnderer: Projecting and Navigating User-Defined Audio Corpora in Pre-Trained Audio Models

Dominic Thibault and David Piazza · Proceedings of the 7th Conference on AI Music Creativity (AIMC 2026), Staatliches Institut für Musikforschung, Berlin, 16–18 September

2026

Conference paper

“There is Beauty in the Small”: A Study of Visual Artists’ Impressions of Small Data and Model Crafting Approaches to Creative AI Work

Ahmed M. Abuzuraiq, Arshia Sobhan, Alexandra Kitson and Philippe Pasquier · Proceedings of DIS ’26: 4202–4219 — Honourable Mention

2026

Journal article

Survey and Typology of Computer-Assisted Composition Systems

Renaud Bougueng Tchemeube and Philippe Pasquier · ACM Computing Surveys 58 (13), Article 330: 1–41

2026

Workshop paper

Explainable AI for the Arts 4 (XAIxArts4)

Shuoyang Zheng, Terence Broad, Elizabeth Wilson, Alexander Cole, Ziyu Xu, Jia-Rey Chang, Gabriel Vigliensoni, Jeba Rezwana, Lanxi Xiao, Michael Clemens, Makayla Lewis, Alan Chamberlain, Helen Kennedy, Corey Ford and Nick Bryan-Kinns · Proceedings of the 2026 Conference on Creativity and Cognition (C&C ’26), 1–9

2025

Journal article

Data- and Interaction-Driven Approaches for Sustained Musical Practices with Machine Learning

Gabriel Vigliensoni and Rebecca Fiebrink · Journal of New Music Research 53 (1–2): 19–32

2025

Conference paper

XAIxArts Manifesto: Explainable AI for the Arts

Nick Bryan-Kinns, Shuoyang Zheng, Francisco Castro, Makayla Lewis, Jia-Rey Chang, Gabriel Vigliensoni, Terence Broad, Michael Clemens and Elizabeth Wilson · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’25), Article 650

2025

Conference paper

Leveraging Small Datasets for Ethical and Responsible AI Music Making

Nick Bryan-Kinns, Anna Wszeborowska, Olga Sutskova, Elizabeth Wilson, Phoenix Perry, Rebecca Fiebrink, Gabriel Vigliensoni, Rikard Lindell, Andrei Coronel and Nuno N. Correia · Proceedings of the 20th International Audio Mostly Conference (AM.ICAD ’25)

2025

Workshop paper

Explainable AI for the Arts 3 (XAIxArts3)

Corey Ford, Elizabeth Wilson, Shuoyang Zheng, Gabriel Vigliensoni, Jeba Rezwana, Lanxi Xiao, Michael Clemens, Makayla Lewis, Drew Hemment, Alan Chamberlain, Helen Kennedy and Nick Bryan-Kinns · Proceedings of the 2025 Conference on Creativity and Cognition (C&C ’25), 13–19

2025

Conference paper

MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition

Philippe Pasquier, Jeff Ens, Nathan Fradet, Paul Triana, Davide Rizzotti, Jean-Baptiste Rolland and Maryam Safi · Proceedings of the AAAI Conference on Artificial Intelligence 39: 1474–1482

2025

Conference paper

AI-Assisted Sound Design with Audio Metaphor (AuMe): An Evaluation with Novice Sound Designers

Liu, Lee, Thorogood, Anderson and Pasquier · AIMC 2025

2025

Workshop paper

Explainability-in-Action: Enabling Expressive Manipulation and Tacit Understanding by Bending Diffusion Models in ComfyUI

Ahmed M. Abuzuraiq and Philippe Pasquier · XAIxArts 2025

2025

Conference paper

Navigating Abstract Timbre Spaces: Instrumental Affordances of Concatenative Synthesis in Mosaïque

Dominic Thibault, David Piazza, Mimi Allard, Mathieu Arseneault and Gaël Moriceau · Proceedings of the 6th Conference on AI Music Creativity (AIMC 2025), Vrije Universiteit Brussel

2024

Conference paper

Mosaïque — Concatenative Synthesis Instrument for the Practicing Musicians

Dominic Thibault · Proceedings of the 5th AI Music Creativity Conference (AIMC 2024), Oxford

2024

Workshop paper

Seizing the Means of Production: Exploring the Landscape of Crafting, Adapting and Navigating Generative AI Models in the Visual Arts

Ahmed M. Abuzuraiq and Philippe Pasquier · Workshop on Generative AI and HCI, CHI ’24

2024

Workshop paper

Towards Personalizing Generative AI with Small Data for Co-Creation in the Visual Arts

Ahmed M. Abuzuraiq and Philippe Pasquier · Joint Proceedings of the ACM IUI Workshops 2024, Vol. 3660: 1–14

2024

Workshop paper

Explainability Paths for Sustained Artistic Practice with AI

Austin Tecks, Thomas Peschlow and Gabriel Vigliensoni · Second International Workshop on eXplainable AI for the Arts (XAIxArts 2024)

2023

Conference paper

Steering Latent Audio Models through Interactive Machine Learning

Gabriel Vigliensoni and Rebecca Fiebrink · Proceedings of the 14th International Conference on Computational Creativity (ICCC ’23), 19–23

2023

Conference paper

The BioSynth — An Affective Biofeedback Device Grounded in Feminist Thought

Erin Gee · New Interfaces for Musical Expression (NIME 2023), Mexico City, Mexico

2023

Conference paper

eTu{d,b}e: Case Studies in Playing with Musical Agents

Tommy Davis, Kasey LV Pocius, Vincent Cusson, Marcelo Wanderley and Philippe Pasquier · NIME 2023, Mexico City: 268–276

2023

Conference paper

Searching for Human Bias Against AI-Composed Music

Zlatov, Jeff Ens and Philippe Pasquier · EvoMusArt 2023

2022

Conference paper

Automatic Transcription of ‘Gambang’ Balinese Gamelan

Sarah Lecompte-Bergeron, Dominic Thibault and I Putu Arya Deva Suryanegara · Proceedings of AIMC 2022

2022

Journal article

R-VAE: Live Latent Space Drum Rhythm Generation from Minimal-Size Datasets

Gabriel Vigliensoni, Louis McCallum, Esteban Maestre and Rebecca Fiebrink · Journal of Creative Music Systems 1 (1)

2022

Workshop paper

A Small-Data Mindset for Generative AI Creative Work

Gabriel Vigliensoni, Phoenix Perry and Rebecca Fiebrink · Generative AI and HCI: CHI 2022 Workshop

2021

Conference paper

Spire Muse: A Virtual Musical Partner for Creative Brainstorming

Notto J. W. Thelle and Philippe Pasquier · NIME 2021, Shanghai — Best Paper Award

2020

Journal article

Approaches to Biometrics in Experimental Sound Art

Erin Gee and Francisco Garcia · PUBLIC Journal 60 (Biometrics: Mediating Bodies): 14–17

2020

Journal article

Larynx Series, Voice of Echo, and Formants: Three Sound-Based Performance Works

Erin Gee · Canadian Theatre Review 184: 67–73

2020

Conference paper

Web-Based Dynamic Visualization of Rhythmic Latent Spaces

Gabriel Vigliensoni, Esteban Maestre and Rebecca Fiebrink · Sound, Image and Interaction Design Symposium (SIIDS 2020)

2020

Conference paper

Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data

Gabriel Vigliensoni, Louis McCallum and Rebecca Fiebrink · Proceedings of the Eleventh International Conference on Computational Creativity (ICCC ’20), 259–262

2020

Conference paper

Generation and Visualization of Rhythmic Latent Spaces

Gabriel Vigliensoni, Louis McCallum, Esteban Maestre and Rebecca Fiebrink · Proceedings of the 2020 Joint Conference on AI Music Creativity

2019

Journal article

Musical Agents: A Typology and State of the Art towards Musical Metacreation

Kıvanç Tatar and Philippe Pasquier · Journal of New Music Research 48 (1): 56–105

2019

Journal article

Automation as Echo

Erin Gee and S. Audry · ASAP/Journal 4 (2): 307–312

2013

Journal article

Repetition as Radical Referral: Echo and Narcissus in the Digital Index

Erin Gee · Sound Art Theories 2011, 23: 88–89

2010

Journal article

Other Bodies, Other Voices

Erin Gee · eContact! Journal of the Canadian Electroacoustic Community 12.3

Ongoing

The archive will grow

EMAI will produce documentation, curated datasets, research-creation outputs, and audiovisual records of performances and workshops.

Creative Works

Previous performances and releases of the team.

The TeamPublications and Research

WÆnderer: Projecting and Navigating User-Defined Audio Corpora in Pre-Trained Audio Models

“There is Beauty in the Small”: A Study of Visual Artists’ Impressions of Small Data and Model Crafting Approaches to Creative AI Work

Survey and Typology of Computer-Assisted Composition Systems

Explainable AI for the Arts 4 (XAIxArts4)

Data- and Interaction-Driven Approaches for Sustained Musical Practices with Machine Learning

XAIxArts Manifesto: Explainable AI for the Arts

Leveraging Small Datasets for Ethical and Responsible AI Music Making

Explainable AI for the Arts 3 (XAIxArts3)

MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition

AI-Assisted Sound Design with Audio Metaphor (AuMe): An Evaluation with Novice Sound Designers

Explainability-in-Action: Enabling Expressive Manipulation and Tacit Understanding by Bending Diffusion Models in ComfyUI

Navigating Abstract Timbre Spaces: Instrumental Affordances of Concatenative Synthesis in Mosaïque

Mosaïque — Concatenative Synthesis Instrument for the Practicing Musicians

Seizing the Means of Production: Exploring the Landscape of Crafting, Adapting and Navigating Generative AI Models in the Visual Arts

Towards Personalizing Generative AI with Small Data for Co-Creation in the Visual Arts

Explainability Paths for Sustained Artistic Practice with AI

Steering Latent Audio Models through Interactive Machine Learning

The BioSynth — An Affective Biofeedback Device Grounded in Feminist Thought

eTu{d,b}e: Case Studies in Playing with Musical Agents

Searching for Human Bias Against AI-Composed Music

Automatic Transcription of ‘Gambang’ Balinese Gamelan

R-VAE: Live Latent Space Drum Rhythm Generation from Minimal-Size Datasets

A Small-Data Mindset for Generative AI Creative Work

Spire Muse: A Virtual Musical Partner for Creative Brainstorming

Approaches to Biometrics in Experimental Sound Art

Larynx Series, Voice of Echo, and Formants: Three Sound-Based Performance Works

Web-Based Dynamic Visualization of Rhythmic Latent Spaces

Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data

Generation and Visualization of Rhythmic Latent Spaces

Musical Agents: A Typology and State of the Art towards Musical Metacreation

Automation as Echo

Repetition as Radical Referral: Echo and Narcissus in the Digital Index

Other Bodies, Other Voices

The archive will grow

Creative Works

The Team
Publications and Research