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Raising co-creativity in cyber-human musicianship

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

32. Somax2 and Reinterpreting Iannis Xenakis (si apre in una nuova finestra)

Autori: Mikhail Malt, Benny Sluchin
Pubblicato in: Meta-Xenakis, Numero 1, 2025, Pagina/e 537-542
Editore: Open Book Publishers, New Perspectives on Iannis Xenakis’s Life, Work, and Legacies,
DOI: 10.11647/obp.0390.34

Co-Creation: Early Steps and Future Prospects.

Autori: George Lewis
Pubblicato in: In Bernard Lubat, Gérard Assayag, Marc Chemillier. Artisticiel / Cyber-Improvisations. Phonofaune, 2021, Dialogiques d'Uzeste., 2021., 2021
Editore: Phonofaune

Orphée aux enfers » : fragment, sexe et trait d’esprit

Autori: Georges Bloch
Pubblicato in: "In Isabelle Tillerot (éd.), ""Le fragment en archipel"", Centre allemand d’histoire de l’art and Heidelberg University, JUIN 2022, Paris", 2022
Editore: Centre allemand d’histoire de l’art

Machine Improvisation in Music: Information-Theoretical Approach. (si apre in una nuova finestra)

Autori: Shlomo Dubnov
Pubblicato in: In: Miranda, E.R. (eds) Handbook of Artificial Intelligence for Music. Springer, Cham., 2021
Editore: Springer
DOI: 10.1007/978-3-030-72116-9_14

Jazz and Artificial Intelligence : From Presence to Traces.

Autori: Marc Chemillier
Pubblicato in: In Bernard Lubat, Gérard Assayag, Marc Chemillier. Artisticiel / Cyber-Improvisations. Phonofaune, 2021, Dialogiques d'Uzeste., 2021., 2021
Editore: Phonofaune

Human-Machine Co-Creativity.

Autori: Gérard Assayag
Pubblicato in: in Bernard Lubat, Gérard Assayag, Marc Chemillier. Artisticiel / Cyber-Improvisations. Phonofaune, 2021, Dialogiques d'Uzeste., 2021
Editore: Phonofaune

Creativity and Visual Communication from Machine to Musician: Sharing a Score Through a Robotic Camera (si apre in una nuova finestra)

Autori: Ross Greer, Laura Fleig, Shlomo Dubnov
Pubblicato in: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, ArtsIT, Interactivity and Game Creation, Numero 13th EAI ArtsIT Conference 2024, 2025, Pagina/e 296-309
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-97254-6_21

Approches diagrammatiques en musicologie computationnelle.

Autori: Moreno Andreatta
Pubblicato in: F. Jedrzejewski, C. Lobo et A. Soulez,. Ecrire comme composer : le rôle des diagrammes, Delatour France, p. 15-30, 2021., 2021
Editore: Delatour

Variation versus bouclage, l'improvisation est-elle soluble dans l'électro ?

Autori: Marc Chemillier
Pubblicato in: Franck Jedrzejewski, Carlos Lobo, Antonia Soulez (éds.), Écrire comme composer : le rôle des diagrammes, Éditions Delatour, pp. 77-90, 2021., 2021
Editore: Delatour

Combining Real-Time Extraction and Prediction of Musical Chord Progressions for Creative Applications. (si apre in una nuova finestra)

Autori: Tristan Carsault, Jérôme Nika, Philippe Esling, Gérard Assayag.
Pubblicato in: Electronics, MDPI, 2021, 10 (21), pp.2634., 2021, ISSN 2079-9292
Editore: MDPI
DOI: 10.3390/electronics10212634

"L'hybridité vue à partir du sujet : le cas de Charles Kely Zana-Rotsy et l'""open gasy"""

Autori: Marc Chemillier, Yuri Prado
Pubblicato in: Cahiers d'ethnomusicologie, Ateliers d'ethnomusicologie n° 36, 2023, 2023, ISSN 2235-7688
Editore: OpenEdition

Valeur de la musique sur TikTok et nouvelles pratiques musicales

Autori: Marc Chemillier, Yohann Rabearivelo
Pubblicato in: Volume!, numéro spécial La valeur de la musique à l'ère des plateformes de streaming, 2023, 2023, ISSN 1950-568X
Editore: OpenEdition

Switching Machine Improvisation Models by Latent Transfer Entropy Criteria (si apre in una nuova finestra)

Autori: S. Dubnov, V. Gokul, G. Assayag
Pubblicato in: Physical Sciences Forum. 2022; 5(1):49, 2022, ISSN 2673-9984
Editore: MDPI
DOI: 10.3390/psf2022005049

Co-créativité humains-machines. Une réflexion sur les indisciplines symboliques.

Autori: Gérard Assayag
Pubblicato in: Revue Francophone d'Informatique et Musique, Association Francophone d'Informatique Musicale, 2020., 2021, ISSN 2261-8589
Editore: Association Francophone d'Informatique Musicale

Predictive Quantization and Symbolic Dynamics (si apre in una nuova finestra)

Autori: Shlomo DUBNOV
Pubblicato in: Algorithms; Volume 15; Numero 12; Pages: 484, 2022, Numero 1, 2022, ISSN 1999-4893
Editore: MDPI Open Access Publishing
DOI: 10.3390/a15120484

The Application of Somax2 in the Live-Electronics Design of Roberto Victório’s Chronos IIIc (si apre in una nuova finestra)

Autori: William Teixeira, Marco Fiorini, Mikhail Malt, Gérard Assayag
Pubblicato in: Música Hodie, Numero 24, 2024, ISSN 1676-3939
Editore: Universidade Federal de Goias
DOI: 10.5216/mh.v24.78611

Somax2 : REACHing Cocreative Interaction

Autori: Gérard Assayag, Laurent Bonnasse-Gahot, Joakim Borg
Pubblicato in: Computer Music Journal vol 46 no. 4 (accepted), 2023, ISSN 0148-9267
Editore: MIT Press

Observing Musical Communities Dedicated to Improvisation on TikTok Using Web Scraping

Autori: Marc Chemillier, Yohann Rabearivelo, Rémi Jaylet
Pubblicato in: Musicologica Austriaca - Journal for Austrian Music Studies, Special Numero TikTok-Music-Cultures. Perspectives on the Study of Musicking Practices On & Through TikTok, Spring 2023, 2023, ISSN 2411-6696
Editore: Austrian Society for Musicology (ÖGMW)

Deep Music Information Dynamics (si apre in una nuova finestra)

Autori: Shlomo Dubnov, Ke Chen, Kevin Huang
Pubblicato in: Journal of Creative Music Systems 1(1), 2022, ISSN 2399-7656
Editore: University of Huddersfield Press
DOI: 10.5920/jcms.894

With, against, or without? Familiarity and copresence increase interactional dissensus and relational plasticity in freely improvising duos. (si apre in una nuova finestra)

Autori: Théo Golvet, Louise Goupil, Pierre Saint-Germier, Benjamin Matuszewski, Gérard Assayag, Clément Canonne, Jérôme Nika
Pubblicato in: Psychology of Aesthetics, Creativity, and the Arts, American Psychological Association, 2021, 2021, ISSN 1931-3896
Editore: American Psychological Association
DOI: 10.1037/aca0000422

Mathematical Morphology Operators for Harmonic Analysis (si apre in una nuova finestra)

Autori: Gonzalo Romero-García, Isabelle Bloch, Carlos Agón
Pubblicato in: Lecture Notes in Computer Science book series (LNAI,volume 13267), 2022
Editore: Springer
DOI: 10.1007/978-3-031-07015-0_21

Computational Analysis of Musical Structures based on Morphological Filters.

Autori: Paul Lascabettes, Carlos Agon, Moreno Andreatta, Isabelle Bloch
Pubblicato in: MCM 2022 - 8th International Conference Mathematics and Computation in Music, Jun 2022, Atlanta, United States., 2022
Editore: Lecture Notes in Computer Science book series (LNAI,volume 13267)

A Polytemporal Model for Musical Scheduling.

Autori: Martin Fouilleul, Jean Bresson, Jean-Louis Giavitto
Pubblicato in: 15th International Symposium on Computer Music Multidisciplinary Research, Nov 2021, Tokyo (online), Japan, 2021
Editore: CMMR

Machine-man Co-improvisation: Incursion of Djazz in Flamenco

Autori: Séraphin Costa, Dominique Costa, Mikhail Malt, Marc Chemillier, Gérard Assayag
Pubblicato in: SOMOS 2022, ICTM Study Group on Sound, Movement and the Sciences, 2022
Editore: SOMOS

Switching Machine Improvisation Models by Latent Transfer Entropy Criteria

Autori: Shlomo Dubnov, Gerard Assayag, Vignesh Gokul
Pubblicato in: MaxEnt 2022, 41st International Conference on Bayesian and Maximum Entropy methods in Science and Engineering (MaxEnt22) 2022, 2022
Editore: MaxEnt

Microphone-based Data Augmentation for Automatic Recognition of Instrumental Playing Techniques (si apre in una nuova finestra)

Autori: Brochec, Nicolas; Tanaka, Tsubasa; Howie, Will
Pubblicato in: International Computer Music Conference (ICMC 2024), Numero 3, 2024
Editore: International Computer Music Conference (ICMC 2024)
DOI: 10.5281/zenodo.10955032

Cross-modal Adversarial Reprogramming (si apre in una nuova finestra)

Autori: Paarth Neekhara,Shehzeen Hussain,Jinglong Du,Shlomo Dubnov,Farinaz Koushanfar,Julian McAuley
Pubblicato in: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, pp. 2898-2906, 2022
Editore: IEEE
DOI: 10.1109/wacv51458.2022.00295

Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments (si apre in una nuova finestra)

Autori: Ke Chen, Hao-Wen Dong, Yi Luo, Julian McAuley, Taylor Berg-Kirkpatrick, Miller Puckette, Shlomo Dubnov
Pubblicato in: ISMIR 2022, Proc. of the 23rd Int. Society for Music Information Retrieval Conf., Bengaluru, India, 2022
Editore: ISMIR
DOI: 10.48550/arxiv.2209.02871

Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music (si apre in una nuova finestra)

Autori: Ke Chen,Shuai Yu,Cheng-i Wang,Wei Li,Taylor Berg-Kirkpatrick,Shlomo Dubnov
Pubblicato in: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 621-625, 2022
Editore: IEEE
DOI: 10.1109/icassp43922.2022.9747304

Expressive Neural Voice Cloning

Autori: Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley
Pubblicato in: ACML 2021, Proc. of The 13th Asian Conference on Machine Learning, PMLR 157:252-267, 2021, 2021
Editore: PMLR

Somax 2, a Reactive Multi-Agent Environment for Co- Improvisation (si apre in una nuova finestra)

Autori: Borg, Joakim; Malt, Mikhail; Assayag, Gérard; Sluchin, Benny; Conforti, Simone
Pubblicato in: Proceedings of the 19th Sound and Music Computing Conference, 2022, Numero 1, 2022
Editore: Sound Music & Computing
DOI: 10.5281/zenodo.6576141

Creative Improvised Interaction with Generative Musical Systems

Autori: Shlomo Dubnov, Gerard Assayag, Vignesh Gokul
Pubblicato in: IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE-MIPR) 2022, 2022
Editore: IEEE

Bi-musicality at the age of artificial intelligence

Autori: Marc Chemillier, Justin Vali
Pubblicato in: SoMoS 2022, ICTM Study Group on Sound, Movement, and the Sciences, Barcelona, October 26, 2022, 2022
Editore: SOMOS

Restoring Eye Contact to the Virtual Classroom with Machine Learning (si apre in una nuova finestra)

Autori: Ross Greer, Shlomo Dubnov
Pubblicato in: Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSME, pp698-708, 2021
Editore: SciTePress
DOI: 10.48550/arXiv.2105.10047

A posthumous improvisation by Toots Thielemans.

Autori: Marc Chemillier, Ke Chen, Mikhail Malt, Shlomo Dubnov
Pubblicato in: Toots Thielemans (1922-2016). A Century of Music across Europe and America, May 2022, Bruxelles, Belgium., 2021
Editore: Bruxelles Museum

Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction

Autori: Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Pubblicato in: ISMIR 2023, Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023
Editore: ISMIR

MusicLDM: Enhancing Novelty in text-to-music Generation Using Beat-Synchronous mixup Strategies (si apre in una nuova finestra)

Autori: Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Pubblicato in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, Pagina/e 1206-1210
Editore: IEEE
DOI: 10.1109/icassp48485.2024.10447265

Introducing EG-IPT and ipt~: a novel electric guitar dataset and a new Max/MSP object for real-time classification of instrumental playing techniques (si apre in una nuova finestra)

Autori: Fiorini, Marco; Brochec, Nicolas; Borg, Joakim; Pasini, Riccardo
Pubblicato in: New Interfaces for Musical Expression (NIME 2025), Numero 3, 2025
Editore: New Interfaces for Musical Expression (NIME 2025)
DOI: 10.5281/zenodo.15205644

Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction (si apre in una nuova finestra)

Autori: Shao, Keren; Chen, Ke; Berg-Kirkpatrick, Taylor; Dubnov, Shlomo
Pubblicato in: Proc. of the 24th Int. Society for Music Information Retrieval Conf., Milan, Italy, 2023., Numero 3, 2023
Editore: Int. Society for Music Information Retrieval Conf
DOI: 10.48550/arxiv.2308.02723

Deep HRTF Encoding & Interpolation: Exploring Spatial Correlations using Convolutional Neural Networks

Autori: Zurale, D., Yadegari, S., Dubnov, S.
Pubblicato in: SMC 2022, Proc. of 19th Sound and Music Computing Conference, St Etienne, 2022, 2022, Pagina/e 350–357
Editore: Sound and Music Computing

Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation (si apre in una nuova finestra)

Autori: Y. Wu, K. Chen, T. Zhang, Y. Hui, T. Berg-Kirkpatrick, S. Dubnov
Pubblicato in: ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2023, Pagina/e 1-5
Editore: IEEE
DOI: 10.1109/icassp49357.2023.10095969

Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data (si apre in una nuova finestra)

Autori: Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence 36 (4):4441-49, 2022
Editore: AAAI
DOI: 10.1609/aaai.v36i4.20366

Accessible Co-Creativity with AI through Language and Voice Input

Autori: Basica, C., Verma, P., Alessandrini, P., Berceanu, A.
Pubblicato in: AIMC 2023, Proc. of Intl. Conference on AI and Musical Creativity @ The University of Sussex, 2023
Editore: The University of Sussex

GEOMETRIC NOTATIONFOR TIME-BRACKET WORKS, APPLICATIONS AND PERFORMANCE:THE CASE OF JOHN CAGE'S MUSIC FOR___

Autori: Mikhail Malt, Benny Sluchin
Pubblicato in: Proceedings of the International Conference on Technologies for Music Notation and Representation -- TENOR'20/21, 2021
Editore: TENOR

Synthèse concaténative et image : DYCI2 et Omax-vidéo.

Autori: Georges Bloch, Jérôme Nika, Quentin Barrois.
Pubblicato in: Journées d'Informatique Musicale 2020 (JIM 2020), Oct 2020, Strasbourg, France, 2021
Editore: JIM

Multitrack Music Transformer (si apre in una nuova finestra)

Autori: H. -W. Dong, K. Chen, S. Dubnov, J. McAuley, T. Berg-Kirkpatrick
Pubblicato in: ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2023
Editore: IEEE
DOI: 10.1109/icassp49357.2023.10094628

Spectrogram Inpainting for Interactive Generation of Instrument Sounds. (si apre in una nuova finestra)

Autori: Théis Bazin, Gaëtan Hadjeres, Philippe Esling, Mikhail Malt
Pubblicato in: Proceedings of the 2020 Joint Conference on AI Music Creativity, Jul 2020, Stockholm, Norway., 2021
Editore: AIMC
DOI: 10.30746/978-91-519-5560-5

HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection (si apre in una nuova finestra)

Autori: Ke Chen,Xingjian Du,Bilei Zhu,Zejun Ma,Taylor Berg-Kirkpatrick,Shlomo Dubnov
Pubblicato in: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 646-650, 2022
Editore: IEEE
DOI: 10.1109/icassp43922.2022.9746312

Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset (si apre in una nuova finestra)

Autori: Weihan Xu, Julian McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Hao-Wen Dong
Pubblicato in: International Society for Music Information Retrieval Conference (ISMIR), 2025
Editore: International Society for Music Information Retrieval
DOI: 10.48550/arXiv.2410.02084

Organigrammes informatiques : présence humaine et intelligence artificielle dans les arts et la culture

Autori: Marc Chemillier
Pubblicato in: Marion Laval-Jeantet; Yann Toma. Organigrammes. L’art face aux mondes complexes - à paraître, 2022
Editore: Organigramme

Restoring Eye Contact to the Virtual Classroom with Machine Learning (si apre in una nuova finestra)

Autori: Ross Greer, Shlomo Dubnov
Pubblicato in: Proceedings of the 13th International Conference on Computer Supported Education, 2021, Pagina/e 698-708
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0010539806980708

Learning Sub-dimensional HRTF Representations – Traditional And Deep Learning Approaches

Autori: Devansh Zurale, Shlomo Dubnov
Pubblicato in: IEEE WASPAA 2023 (accepted), 2023
Editore: IEEE

Composing Structured Music Generation Processes with Creative Agents.

Autori: Jérôme Nika, Jean Bresson
Pubblicato in: 2nd Joint Conference on AI Music Creativity (AIMC), 2021, Graz, Austria., 2021
Editore: AIMC

Spatial Upsampling of Sparse Head Related Transfer Functions - A VQ-VAE & Transformer based approach

Autori: Devansh Zurale, Shlomo Dubnov
Pubblicato in: AES SIA 2023, Proc. Intl. Conference on Spatial and Immersive Audio 2023 August 23–25, Huddersfield, UK, 2023
Editore: AES

Observing Musical Communities Dedicated to Improvisation and Duet Practice on TikTok Using Web Scraping

Autori: Chemillier, Marc; Rabearivelo, Yohann; Jaylet, Rémi
Pubblicato in: TikTok-Music-Cultures Perspectives on the Study of Musicking Practices On & Through TikTok, Juan Bermúdez; Ylva Hintersteiner; Emma Schrott,, Numero 10, 2022
Editore: Juan Bermúdez; Ylva Hintersteiner; Emma Schrott,

Spatial Awareness and Influence for Co-Creative Agents: Introducing Automated Corpus Spatialization in Somax2

Autori: Alberto M Gatti , Marco Fiorini
Pubblicato in: Sound and Music Computing Conference (SMC 2025), 2025
Editore: Sound and Music Computing Conference

The Tonnetz Environment: A Web Platform for Computer-aided “Mathemusical” Learning and Research. (si apre in una nuova finestra)

Autori: Corentin Guichaoua, José L Besada, Erica Bisesi, Moreno Andreatta
Pubblicato in: 13th International Conference on Computer Supported Education, Apr 2021, Prague (on line), Czech Republic. pp.680-689,, 2021
Editore: ICCSE
DOI: 10.5220/0010532606800689

Active Vibration Control Applied to Flat Panel Loudspeakers Using the HyVibe Pro

Autori: Adrien Mamou-Mani, Florentin Ménage, Serge Puvilland, Giuseppe Pennisi, Mathieu Carré, François Beaulier
Pubblicato in: Proceedings of SIA Comfort Conference, Le Mans, France, 2021., 2021
Editore: SIA

Somax2 – A Distributed Co-Creative System for Human-Machine Co-Improvisation (si apre in una nuova finestra)

Autori: Marco Fiorini, Mikhail Malt
Pubblicato in: HHAI 2023, Proc.of the 2nd International Conference on Hybrid Human-Artificial Intelligence Augmenting Human Intellect, Series Frontiers in Artificial Intelligence and Applications, Vol 368, 2023, Pagina/e 389-391, ISBN 978-1-64368-394-2
Editore: IOS Press
DOI: 10.3233/faia230106

Realizations & Expansions Performance Cases of an Open Work using Artificial Intelligence Generative Tools

Autori: Malt, Mikhail; Sluchin, Benny
Pubblicato in: ICMC 2025, Northeastern University, Numero 5, 2025
Editore: Northeastern University

Somax 2 a Reactive Multi-Agent Environment for Co-Improvisation

Autori: Joakim Borg, Gérard Assayag, Mikhail Malt
Pubblicato in: SMC 2022, Proc. of the 19th Sound and Music Computing Conference Sound Music & Computing, 2022
Editore: SMC

Universal Source Separation with Weakly Labelled Data (si apre in una nuova finestra)

Autori: Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Mark D. Plumbley
Pubblicato in: arXiv, 2023
Editore: arXiv
DOI: 10.48550/arxiv.2305.07447

Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments

Autori: Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian McAuley, Taylor Berg-Kirkpatrick
Pubblicato in: arXiv, 2022
Editore: arXiv

Artisticiel / Cyber-Improvisations.

Autori: Bernard Lubat, Gérard Assayag, Marc Chemillier
Pubblicato in: Phonofaune, 2021, Coll. Dialogiques d'Uzeste, Bernard Lubat., 2021, ISBN 978-2-490959-00-6
Editore: Phonofaune

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