Publications

A.I. KOMBOÏ: RE-IMAGINING XENAKIS’ KOMBOÏ THROUGH CYBER-HUMAN CO-CREATIVE IMPROVISATION PRACTICE

Article by Marco Fiorini (IRCAM, REACH) and Lorenzo Colombo (DKDM, the Royal Danish Academy of Music) has been accepted for the JIM2024 conference (Journées d’Informatique Musicale, 6-8 May 2024, Marseille, France). Read the full paper Watch the video of the performance RésuméDans cet article, nous documentons une recherche artistique et scientifique dans laquelle nous réimaginons […]

Conferences

IMPROVISIO – Pour un outil d’improvisation de musique visuelle – Sabina Covarrubias

Les MERCREDIS DE STMS du 3 avril 2024 accueillent Sabina COVARRUBIAS, postdoctorante au sein de l’équipe Représentations musicales du laboratoire STMS (Ircam – CNRS – Sorbonne Université – Ministère de la Culture), qui présentera l’objet de ses recherches actuelles : « IMPROVISIO – Pour un outil d’improvisation de musique visuelle destiné aux musiciens dans un contexte […]

Publications

Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation

Read full publication. Published by Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov. Abstract: Contrastive learning has shown remarkable success in the field of multimodal representation learning. In this paper, we propose a pipeline of contrastive language-audio pretraining to develop an audio representation by combining audio data with natural […]

Publications

Challenging epistemic biases in musical AI: a guerrilla approach to human – machine comprovisation based on Xenakis’s sketches for Evryali

Article by Pavlos Antoniadis, Department of Music Studies, University of Ioannina. Download article Abstract: The objective of this paper is to reflect on the affordances of sketches as interfaces for human and machine learning, by way of a case-study based on Iannis Xenakis’s Evryali (1973). First, we report on one-to-one mappings between the composer’s original […]