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Music at the Frontiers of Artificial Creativity and Criticism

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

Statistical evaluation of abc-formatted music at the levels of items and corpora

Author(s): L. Cros Vila, B. L. T. Sturm
Published in: Proc. AIMC conference, Issue 2023, 2023
Publisher: AIMC

Stochastic Pirate Radio (KSPR): Generative AI applied to simulate commercial radio

Author(s): B. L. T. Sturm, M. Amerotti, D. Dalmazzo, L. Cros Vila, L. Casini, E. Kanhov
Published in: Proc. AI Music Creativity, Issue 2024, 2024
Publisher: AI Music Creativity

Reframing ‘Aura’: Authenticity in the Application of Ai to Irish Traditional Music

Author(s): Rujing Huang, Bob L. T. Sturm
Published in: Proc. AI Music Creativity, 2021
Publisher: AIMC

The Ai Music Generation Challenge 2022: Summary and Results

Author(s): B. L. T. Sturm
Published in: Proc. AIMC conference, Issue 2023, 2023
Publisher: AIMC

Investigating the viability of Masked Language Modeling for symbolic music generation in abc-notation

Author(s): L. Casini, N. Jonason, B. L. T. Sturm
Published in: Proc. EvoMUSART, Issue 2024, 2024
Publisher: EVOMUSART

A Review of Validity and its Relationship to Music Information Research”

Author(s): B. L. T. Sturm and A. Flexer
Published in: Proc. ISMIR, 2023
Publisher: ISMIR

DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input (opens in new window)

Author(s): Jonason, Nicolas; Wang, Xin; Cooper, Erica; Juvela, Lauri; Sturm, Bob; Yamagishi, Junichi
Published in: Proc. Digital Audio Effects, Issue 2024, 2024
Publisher: DAFx
DOI: 10.48550/arxiv.2309.07658

The Virtual Session: Synchronizing Multiple Virtual Musicians Simulating an Irish Traditional Music Session

Author(s): M. Amerotti, S. Benford, B. L. T. Sturm, J. Avila
Published in: Proc. International Computer Music Conference, Issue 2025, 2025
Publisher: International Computer Music Conference

An Artificial Critic of Irish Double Jigs

Author(s): Bob L. T. Sturm
Published in: Proc. AI Music Creativity, 2021
Publisher: AIMC

Automatic Legato Transcription Based on Onset Detection

Author(s): Simon Falk, Bob L. T. Sturm, Sven Ahlbäck
Published in: Proc. Sound and Music Computing Conference, Issue 2023, 2023
Publisher: KTH

Assessing the Alignment of Valence and Arousal between Text Prompts and the Resulting AI-Generated Music (opens in new window)

Author(s): X. Hu, B. L. T. Sturm
Published in: Proc. AI Music Creativity, Issue 2025, 2025
Publisher: AIMC
DOI: 10.5281/zenodo.16589528

Data Ethics of Human-Nonhuman Sound Technologies and Ecologies

Author(s): P. Jääskeläinen, E. Kanhov
Published in: Proc. 4th Intl. Workshop on Vocal interactivity in-and-between Humans, Animals and Robots, Issue 2024, 2024
Publisher: International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots

Tradformer: A Transformer Model of Traditional Music

Author(s): Bob L. T. Sturm, Luca Casini
Published in: Proc. Int. Joint Conf. Artificial Intell, 2022
Publisher: IJCAI

Exploring the Expressive Space of an Articulatory Vocal Modal using Quality-Diversity Optimization with Multimodal Embeddings (opens in new window)

Author(s): Joris Grouwels, Nicolas Jonason, Bob L. T. Sturm
Published in: Proceedings of the Genetic and Evolutionary Computation Conference, Issue 2024, 2025, Page(s) 1362-1370
Publisher: ACM
DOI: 10.1145/3712256.3726313

AI Music Studies: Preparing for the Flood

Author(s): B. L. T. Sturm, K. Déguernel, R. Stacy Huang, A.-K. Kaila, P. Jääskeläinen, E. Kanhov, L. Cros Vila, D. C. Dalmazzo, L. Casini, O. R. Bown, N. Collins, E. Drott, J. Sterne, A. Holzapfel, O. Ben-Tal
Published in: Proc. AI Music Creativity, Issue 2024, 2024
Publisher: AI Music Creativity

The Ai Music Generation Challenge 2021: Summary and Results

Author(s): Bob L. T. Sturm
Published in: Proc. AI Music Creativity, Issue 2022, 2022
Publisher: AIMC

A Critical Survey of Research in Music Genre Recognition

Author(s): O. Green, B. L. T. Sturm, G. Born, M. Wald-Fuhrmann
Published in: Proc. Int. Soc. Music Information Retrieval, Issue 2024, 2024
Publisher: ISMIR

ChromaFlow: Modelling And Generating Harmonic Progressions With a Transformer And Voicing Encoding

Author(s): D. Dalmazzo, K. Déguernel, B. L. T. Sturm
Published in: Proc. 15th Int. Workshop on Machine Learning and Music, Issue 2024, 2024
Publisher: Int. Workshop on Machine Learning and Music

Evaluation of an Interactive Music Performance System in the Context of Irish Traditional Dance Music (opens in new window)

Author(s): Amerotti, Marco; Sturm, Bob; Benford, Steve; Maruri-Aguilar, Hugo; Vear, Craig
Published in: Proc. New Instruments for Music Expression (NIME), Issue 2024, 2024
Publisher: Zenodo
DOI: 10.5281/zenodo.13904812

A Computer Application to Explore 53-Tone Equal Temperament Harmonies Through Modal Interchange (opens in new window)

Author(s): D. Dalmazzo, K. Déguernel and B. L. T. Sturm
Published in: Proceedings of the International Conference on New Interfaces for Musical Expression, Issue 2025, 2025
Publisher: NIME
DOI: 10.5281/zenodo.15698843

Evaluation of an Interactive Music Performance System in the Context of Irish Traditional Dance Music

Author(s): M. Amerotti, B. L. T. Sturm, S. Benford, H. Maruri-Aguilar, C. Vear,
Published in: Proc. New Interfaces for Musical Expression, Issue 2024, 2024
Publisher: New Interfaces for Musical Expression

Bias in Favour or Against Computational Creativity: A Survey and Reflection on the Importance of Socio-cultural Context in its Evaluation

Author(s): Ken Déguernel, Bob Sturm
Published in: Proc. Int. Conf. Computational Creativity, Issue 2023, 2023
Publisher: ICCC

Neural Music Instrument Cloning from Few Samples

Author(s): Nicolas Jonason, Bob L. T. Sturm
Published in: Proc. Digital Audio Effects, Issue 2022, 2022, Page(s) 296-303
Publisher: DAFx

The control-synthesis approach for making expressive and controllable neural music synthesizers (opens in new window)

Author(s): Nicolas Jonason; Bob L. T. Sturm; Carl Thomé
Published in: Proc. Sound and Music Computing Conference, Issue 2020, 2020
Publisher: Sound and Music Computing
DOI: 10.5281/zenodo.4285384

Applying textual inversion to control and personalize text-to-music models

Author(s): Thomé, Carl; Sturm, Bob; Pertoft, John; Jonason, Nicolas
Published in: Proc. 15th Int. Workshop on Machine Learning and Music, Issue 2024, 2024
Publisher: Proc. Int. Workshop Machine Learning and Music

Agonistic Dialogue on the Value of AI Music Applications

Author(s): A.-K. Kaila, B. L. T. Sturm
Published in: Proc. AI Music Creativity, Issue 2024, 2024
Publisher: AI Music Creativity

Generative AI helps one express things for which they may not have expressions (yet)

Author(s): Bob L. T. Sturm
Published in: Proc. Generative AI and HCI, Workshop at CHI 2022, Issue 2022, 2022
Publisher: CHI

De-centering the West: East Asian Philosophies and the Ethics of Applying Artificial Intelligence to Music

Author(s): Rujing Huang, Bob L. T. Sturm, Andre Holzapfel
Published in: Proc. Int. Symposium on Music Information Retrieval, 2021
Publisher: ISMIR

(Mis)Communicating with our AI Systems (opens in new window)

Author(s): Laura Cros Vila, Bob Sturm
Published in: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Issue 2024, 2025, Page(s) 1-9
Publisher: ACM
DOI: 10.1145/3706598.3713771

Methodological Considerations of Digital Ethnographic Studies in the AI Music Field (opens in new window)

Author(s): Y. Zhao, E. Kanhov, and B. L. T. Sturm
Published in: Proc. AI Music Creativity Conference, Issue 2025, 2025
Publisher: AIMC
DOI: 10.5281/zenodo.16946368

Steer-by-prior Editing of Symbolic Music Loops

Author(s): N. Jonason, L. Casini, B. L. T. Sturm
Published in: Proc.International Workshop on Machine Learning and Music, Issue 2025, 2025
Publisher: ECML/PKDD

Sparks of musical AGI? Challenges and perspectives in music co-creation with LLMs

Author(s): L. Casini, N. Jonason, B. L. T. Sturm
Published in: Proc. AI Music Creativity, Issue 2024, 2024
Publisher: AI Music Creativity

SMART: Tuning a symbolic music generation system with an audio domain aesthetic reward (opens in new window)

Author(s): N. Jonason, L. Casini, B. L. T. Sturm
Published in: Proc. AI Music Creativity, Issue 2025, 2025
Publisher: AIMC
DOI: 10.5281/zenodo.16946387

Negotiating Autonomy and Trust when Performing with an AI Musician (opens in new window)

Author(s): Steve Benford, Marco Amerotti, Bob Sturm, Juan Martinez Avila
Published in: Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, Issue 2024, 2024, Page(s) 1-10
Publisher: ACM
DOI: 10.1145/3686038.3686040

Investigating the relationship between liking and belief in AI authorship in the context of Irish traditional music

Author(s): Ken Déguernel, Bob L. T. Sturm, Hugo Maruri-Aguilar
Published in: First Workshop on Artificial Intelligence and Creativity, Issue 2022, 2022, Page(s) 55-68, ISSN 1613-0073
Publisher: CEUR-WS.org

A Live Performance Rule System Informed by Irish Traditional Dance Music

Author(s): M. Amerotti, S. Benford, B. L. T. Sturm and C. Vear
Published in: Proc. CMMR, Issue 2023, 2023
Publisher: CMMR

Exploring Softly Masked Language Modelling for Controllable Symbolic Music Generation (opens in new window)

Author(s): Jonason, Nicolas; Sturm, Bob L. T.
Published in: Proc. 15th Int. Workshop on Machine Learning and Music, Issue 2023, 2023
Publisher: arXiv
DOI: 10.48550/arxiv.2305.03530

SYMPLEX: Controllable Symbolic Music Generation using Simplex Diffusion with Vocabulary Priors

Author(s): Nicolas Jonason, Luca Casini, Bob L.T. Sturm
Published in: arXiv, Issue 2024, 2024
Publisher: arXiv

"""I made this (sort of)"": Negotiating authorship, confronting fraudulence, and exploring new musical spaces with prompt-based AI music generation" (opens in new window)

Author(s): B. L. T. Sturm
Published in: arXiv, Issue 2025, 2025
Publisher: arXiv
DOI: 10.48550/arxiv.2507.23365

TimbreCLIP: Connecting Timbre to Text and Images

Author(s): Nicolas Jonason, Bob L.T. Sturm
Published in: arXiv, Issue 2023, 2023
Publisher: arXiv

Proceedings of the 2020 Joint Conference on AI Music Creativity (opens in new window)

Author(s): Bob L. T. Sturm (chair), Andy Elmsly (Technical Program Chair)
Published in: Proceedings of the 2020 Joint Conference on AI Music Creativity, 2020, ISBN 978-91-519-5560-5
Publisher: AIMC
DOI: 10.30746/978-91-519-5560-5

Audio Latent Space Cartography (opens in new window)

Author(s): Jonason, Nicolas; Sturm, Bob L. T.
Published in: arxiv, Issue 2022, 2022, ISSN 2331-8422
Publisher: arxiv
DOI: 10.48550/arxiv.2212.02610

Data-Driven Analysis of Text-Conditioned AI-Generated Music: A Case Study with Suno and Udio (opens in new window)

Author(s): Luca Casini, Laura Cros Vila, David Dalmazzo, Anna-Kaisa Kaila, Bob L.T. Sturm
Published in: arXiv, Issue 2025, 2025
Publisher: arXiv
DOI: 10.48550/arxiv.2509.11824

Retrieval Augmented Generation of Symbolic Music with LLMs

Author(s): Nicolas Jonason, Luca Casini, Carl Thomé, Bob L.T. Sturm
Published in: arXiv, Issue 2023, 2023
Publisher: arXiv

Special journal issue: AI and Musical Creativity (opens in new window)

Author(s): Bob L. T. Sturm, Alexandra L. Uitdenbogerd, Hendrik Vincent Koops, Anna Huang
Published in: Transactions Int. Soc. Music Information Retrieval, 2022
Publisher: ISMIR
DOI: 10.5334/tismir.129

Collected Materials of The First International Conference in AI Music Studies: Prospects, Challenges and Methodologies of Studying AI Music in the Humanities and Social Sciences

Author(s): B. L. T. Sturm, E. Kanhov, A. Holzapfel
Published in: Collected Materials of The First International Conference in AI Music Studies: Prospects, Challenges and Methodologies of Studying AI Music in the Humanities and Social Sciences, Issue 2024, 2024
Publisher: KTH Royal Institute of Technology

MusAIcology: AI Music and the Need for a New Kind of Music Studies (opens in new window)

Author(s): Bob L. T. Sturm, Ken Déguernel, Rujing Stacy Huang, André Holzapfel, Oliver Bown, Nick Collins, Jonathan Sterne, Laura Cros Vila, Luca Casini, David Alberto Cabrera, Eric A Drott, Oded Ben-Tal
Published in: SocArXiv, Issue 2024, 2024
Publisher: Center for Open Science
DOI: 10.31235/osf.io/9pz4x

How music AI is useful : engagements with composers, performers, and audiences (opens in new window)

Author(s): Oded Ben-Tal; Matthew Tobias Harris; Bob L. Sturm
Published in: Leonardo, Issue 2021, 2021, Page(s) 510–516, ISSN 0024-094X
Publisher: MIT Press
DOI: 10.1162/leon_a_01959

"The Ai Music Generation Challenge 2020: Double Jigs in the Style of ""O'Neill's 1001''" (opens in new window)

Author(s): Bob L. T. Sturm, Hugo Maruri-Aguilar
Published in: Journal of Creative Music Systems, 2021, ISSN 2399-7656
Publisher: University of Huddersfield
DOI: 10.5920/jcms.950

Innovation, data colonialism and ethics: critical reflections on the impacts of AI on Irish traditional music (opens in new window)

Author(s): Elin Kanhov, Anna-Kaisa Kaila, Bob L. T. Sturm
Published in: Journal of New Music Research, Issue 53, 2025, Page(s) 47-63, ISSN 0929-8215
Publisher: Swets & Zeitlinger
DOI: 10.1080/09298215.2024.2442359

Beyond Diverse Datasets: Ethical MIR, ‘Agonistic’ Interdisciplinarity, and the Fractured Worlds of Music

Author(s): Rujing Huang, André Holzapfel, Bob L. T. Sturm, Anna-Kaisa Kaila
Published in: Transactions of the International Society for Music Information Retrieval, Issue 2023, 2023, ISSN 2514-3298
Publisher: Ubiquity Press

The AI Music Arms Race: On the Detection of AI-Generated Music (opens in new window)

Author(s): Laura Cros Vila, Bob L. T. Sturm, Luca Casini, David Dalmazzo
Published in: Transactions of the International Society for Music Information Retrieval, Issue 8, 2025, ISSN 2514-3298
Publisher: Ubiquity Press
DOI: 10.5334/tismir.254

Introducing the TISMIR Education Track: What, Why, How? (opens in new window)

Author(s): Meinard Müller, Simon Dixon, Anja Volk, Bob L. T. Sturm, Preeti Rao, Mark Gotham
Published in: Transactions of the International Society for Music Information Retrieval, Issue 7, 2024, Page(s) 85-98, ISSN 2514-3298
Publisher: Ubiquity Press, Ltd.
DOI: 10.5334/tismir.199

Reflections on The First International Conference in AI Music Studies (opens in new window)

Author(s): Bob L.T. Sturm, Kanhov Elin, André Holzapfel, Oded Ben-Tal
Published in: Computer Music Journal, Issue 48, 2025, Page(s) 85-88, ISSN 0148-9267
Publisher: MIT Press
DOI: 10.1162/comj_r_00715

Editors' Notes (opens in new window)

Author(s): Ken Déguernel, Bob L. T. Sturm
Published in: Computer Music Journal, Issue 46, 2024, Page(s) 5-6, ISSN 0148-9267
Publisher: MIT Press
DOI: 10.1162/comj_e_00656

Validity in Music Information Research Experiments

Author(s): Sturm, Bob L. T.; Flexer, Arthur
Published in: arxiv, Issue 2023, 2023, ISSN 2331-8422
Publisher: arxiv

Folk the Algorithms: (Mis)Applying Artificial Intelligence to Folk Music (opens in new window)

Author(s): Bob L. T. Sturm, Oded Ben-Tal
Published in: Handbook of Artificial Intelligence for Music, Issue 2023, 2023, Page(s) 423-454
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-72116-9_16

The Chordinator: Modeling Music Harmony by Implementing Transformer Networks and Token Strategies (opens in new window)

Author(s): David Dalmazzo, Ken Déguernel, Bob L. T. Sturm
Published in: Lecture Notes in Computer Science, Artificial Intelligence in Music, Sound, Art and Design, Issue 2024, 2024, Page(s) 52-66
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-56992-0_4

Global Ethics – From Philosophy to Practice A Culturally Informed Ethics of Music AI in Asia

Author(s): Rujing Huang, André Holzapfel, Bob L. T. Sturm
Published in: Artificial Intelligence and Music Ecosystem, Issue 2023, 2023, ISBN 9780367405779
Publisher: Routledge

Modeling interactive performance of traditional music : Challenges and perspectives

Author(s): Amerotti, Marco
Published in: KTH Master's Thesis in Computer Science, Issue 2024, 2024
Publisher: KTH

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