Read full publication. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24)Special Track on AI, the Arts and Creativity. Published by Nikita Srivatsan, Ke Chen, Shlomo Dubnov and Taylor Berg-Kirkpatrick. Abstract: In this paper we put forward a new approach to music captioning, the task of automatically generating natural language descriptions for songs. […]
Read full publication. Published by Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov. Abstract: Diffusion models have shown promising results in cross-modal generation tasks, including text-to-image and text-to-audio generation. However, generating music, as a special type of audio, presents unique challenges due to limited availability of music data and sensitive issues […]
Paper written by Nicolas Brochec*, Tsubasa Tanaka*, and Will Howie*† has been presented at the ICMC2024 (International Computer Music Conference 2024). * Tokyo University of the Arts† Japan Society for the Promotion of Science Full publication Abstract: Within existing research on the automatic classification of musical instrument playing techniques, few available datasets include enough playing […]
Lire la publication originale. Par Marc Chemillier, Directeur d’études de l’EHESS La musique entretient depuis toujours des liens étroits avec les mathématiques. Les pythagoriciens à partir du Ve siècle avant J.-C. commencent à s’intéresser aux rapports entre la musique et les nombres. Beaucoup plus proche de nous, Joseph Fourier (1768-1830) jette les bases de l’analyse harmonique […]
Lire l’article original. Par Moreno Andreatta, Directeur de recherche CNRS. Peut-on partir des problèmes posés par la musique pour faire avancer la recherche en mathématique et, via les maths, stimuler la créativité musicale ? Voilà une question qui aurait sans doute fait sourire les scientifiques et musiciennes ou musiciens professionnels il y a juste une trentaine […]
Lire l’article original. 1, 2, 3, 4 : comment adopter le bon tempo ? Pourquoi le son est-il meilleur dans une salle de concert que dans notre salon ? Pourquoi les styles musicaux ont des battements par minute (bpm) différents ? En quoi le rythme musical, ses fréquences et ses harmonies, sont des grandeurs mathématiques […]
From a facebook post by Marco Fiorini First time featured in the Computer Music Journal! 📚On this issue, the seminal article on Somax2 by Gérard Assayag, Laurent Bonnasse-Gahot and Joakim Borg is finally out, and I’m appearing as contributor to the tutorials and documentation! 🙏The journal gives also a nice overview of the Erc Reach […]
Article by Pierre Saint-Germier (CNRS, STMS – IRCAM), Clément Canonne (CNRS, STMS – IRCAM) and Marco Fiorini (STMS – IRCAM, Sorbonne Université, CNRS) has been accepted for the AIMC2024 Conference (The International Conference on AI and Musical Creativity, 9-11 September 2024, Oxford, UK) Read the full paper Abstract: Research in Embodied Music Cognition suggests that […]
By Paul Lascabettes, Isabelle Bloch. Mathematics and Computation in Music, Jun 2024, Coimbra, Portugal. pp.45-57. Read full publication. Abstract: We propose in this article to generate good rhythms from geometric properties. This approach is based on the work by Toussaint, who investigated the properties that make a “good” rhythm good in his book The Geometry […]
Article by Marco Fiorini (IRCAM, Sorbonne Université, CNRS) and Nicolas Brochec (Tokyo University of the Arts) has been accepted for the SMC2024 conference (Sound and Music Computing, 4-6 July 2024, Porto, Portugal). Read the full paper Watch a video demo of the system Abstract: This paper presents a novel application and integration of a state-of-the-art CNN-based classifier for real-time […]