Music at the Frontiers of Artificial Creativity and Criticism

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

Autori: L. Cros Vila, B. L. T. Sturm
Pubblicato in: Proc. AIMC conference, Numero 2023, 2023
Editore: AIMC

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

Autori: Rujing Huang, Bob L. T. Sturm
Pubblicato in: Proc. AI Music Creativity, 2021
Editore: AIMC

The Ai Music Generation Challenge 2022: Summary and Results

Autori: B. L. T. Sturm
Pubblicato in: Proc. AIMC conference, Numero 2023, 2023
Editore: AIMC

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

Autori: B. L. T. Sturm and A. Flexer
Pubblicato in: Proc. ISMIR, 2023
Editore: ISMIR

An Artificial Critic of Irish Double Jigs

Autori: Bob L. T. Sturm
Pubblicato in: Proc. AI Music Creativity, 2021
Editore: AIMC

Automatic Legato Transcription Based on Onset Detection

Autori: Simon Falk, Bob L. T. Sturm, Sven Ahlbäck
Pubblicato in: Proc. Sound and Music Computing Conference, Numero 2023, 2023
Editore: KTH

Tradformer: A Transformer Model of Traditional Music

Autori: Bob L. T. Sturm, Luca Casini
Pubblicato in: Proc. Int. Joint Conf. Artificial Intell, 2022
Editore: IJCAI

The Ai Music Generation Challenge 2021: Summary and Results

Autori: Bob L. T. Sturm
Pubblicato in: Proc. AI Music Creativity, Numero 2022, 2022
Editore: AIMC

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

Autori: Ken Déguernel, Bob Sturm
Pubblicato in: Proc. Int. Conf. Computational Creativity, Numero 2023, 2023
Editore: ICCC

Neural Music Instrument Cloning from Few Samples

Autori: Nicolas Jonason, Bob L. T. Sturm
Pubblicato in: Proc. Digital Audio Effects, Numero 2022, 2022, Pagina/e 296-303
Editore: DAFx

The control-synthesis approach for making expressive and controllable neural music synthesizers

Autori: Nicolas Jonason; Bob L. T. Sturm; Carl Thomé
Pubblicato in: Proc. Sound and Music Computing Conference, Numero 2020, 2020
Editore: Sound and Music Computing
DOI: 10.5281/zenodo.4285384

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

Autori: Bob L. T. Sturm
Pubblicato in: Proc. Generative AI and HCI, Workshop at CHI 2022, Numero 2022, 2022
Editore: CHI

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

Autori: Rujing Huang, Bob L. T. Sturm, Andre Holzapfel
Pubblicato in: Proc. Int. Symposium on Music Information Retrieval, 2021
Editore: ISMIR

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

Autori: Ken Déguernel, Bob L. T. Sturm, Hugo Maruri-Aguilar
Pubblicato in: First Workshop on Artificial Intelligence and Creativity, Numero 2022, 2022, Pagina/e 55-68, ISSN 1613-0073
Editore: CEUR-WS.org

A Live Performance Rule System Informed by Irish Traditional Dance Music

Autori: M. Amerotti, S. Benford, B. L. T. Sturm and C. Vear
Pubblicato in: Proc. CMMR, Numero 2023, 2023
Editore: CMMR

How music AI is useful : engagements with composers, performers, and audiences

Autori: Oded Ben-Tal; Matthew Tobias Harris; Bob L. Sturm
Pubblicato in: Leonardo, Numero 2021, 2021, Pagina/e 510–516, ISSN 0024-094X
Editore: MIT Press
DOI: 10.1162/leon_a_01959

"The Ai Music Generation Challenge 2020: Double Jigs in the Style of ""O'Neill's 1001''"

Autori: Bob L. T. Sturm, Hugo Maruri-Aguilar
Pubblicato in: Journal of Creative Music Systems, 2021, ISSN 2399-7656
Editore: University of Huddersfield
DOI: 10.5920/jcms.950

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

Autori: Rujing Huang, André Holzapfel, Bob L. T. Sturm, Anna-Kaisa Kaila
Pubblicato in: Transactions of the International Society for Music Information Retrieval, Numero 2023, 2023, ISSN 2514-3298
Editore: Ubiquity Press

Proceedings of the 2020 Joint Conference on AI Music Creativity

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

Special journal issue: AI and Musical Creativity

Autori: Bob L. T. Sturm, Alexandra L. Uitdenbogerd, Hendrik Vincent Koops, Anna Huang
Pubblicato in: Transactions Int. Soc. Music Information Retrieval, 2022
Editore: ISMIR
DOI: 10.5334/tismir.129

Audio Latent Space Cartography

Autori: Jonason, Nicolas; Sturm, Bob L. T.
Pubblicato in: arxiv, Numero 2022, 2022, ISSN 2331-8422
Editore: arxiv
DOI: 10.48550/arxiv.2212.02610

Validity in Music Information Research Experiments

Autori: Sturm, Bob L. T.; Flexer, Arthur
Pubblicato in: arxiv, Numero 2023, 2023, ISSN 2331-8422
Editore: arxiv

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

Autori: Rujing Huang, André Holzapfel, Bob L. T. Sturm
Pubblicato in: Artificial Intelligence and Music Ecosystem, Numero 2023, 2023, ISBN 9780367405779
Editore: Routledge

Pubblicazioni

Condividi questa pagina

Scarica