Trapani Conservatory Launches Machine Learning for Performance Course

The educational portfolio of the MUSIC4D project expands with a new, strategic training program: the “Antonio Scontrino” Conservatory of Trapani is activating the advanced course “Machine Learning for Artistic Practice.” This initiative represents a significant step forward in the integration of technology and artistic gesture and is open to all partners within the network. Delivered by the specialist firm Uncommon Frequencies UG under the scientific leadership of Jennifer Nicolay—an international authority on the intersection of computer science and performance—this program stands as a cornerstone of the technological implementation of MUSIC4D. This ambitious PNRR-funded project, led by the “Alessandro Scarlatti” Conservatory of Palermo, aims to redefine Higher Education in Art and Music (AFAM) through scientific research applied to sound and multimedia languages.

The course is conceived as the natural practical evolution of the modules developed in the “Artificial Intelligence & Digital Music” track, offering an intensive laboratory designed to prepare musicians for the complexities of live performance. The primary terrain for this experimentation is the “Linea: Intersections between Music and Dance” project, featuring a repertoire that investigates musical structures traditionally rooted in corporeality. Through the use of Machine Learning and sophisticated sensors, students will learn to translate the energetic and gestural nuances of musical performance into advanced aesthetic dimensions, such as spatial sound modulation and the generation of dynamic audiovisual processes. This serves as an essential “digital rehearsal” ahead of the prestigious tour of Brazil in May, which will see the Linea project showcased at UNESP University in São Paulo on May 6th and at UFMG University in Belo Horizonte on May 7th.

The sessions, conducted entirely online via Microsoft Teams from April 11th to 29th, will enable students to explore cutting-edge tools such as Wekinator and TouchDesigner, developing performance prototypes where sound analysis and motion data converge into a singular stage narrative. To ensure the maximum impact of these results and promote ongoing training, the entire course will subsequently be made available in MOOC format for asynchronous learning across the participating Conservatories. Upon completion and verification of attendance, participants will receive an official certificate from the training provider.

Course Schedule (Sessions via Microsoft Teams):

• 11.04.2026, 4:00 PM – Session 1: Gesture research and prototyping for motion capture.
• 15.04.2026, 12:00 PM – Session 2: Feature-selection and initial stable mappings in TouchDesigner.
• 18.04.2026, 3:30 PM – Session 3: Configuration and training of gesture classes with Wekinator.
• 21.04.2026, 3:00 PM – Session 4: Training with final sensors applied to the body-sensor system.
• 23.04.2026, 3:00 PM – Session 5: Musical integration and the dramaturgy of audiovisual signals.
• 29.04.2026, 3:00 PM – Session 6: Fine-tuning and technical preparation for the international tour.

By activating this program, Music4D reaffirms its mission: to move beyond mere technical updates and instead build a new methodological awareness that allows musical tradition to inhabit the architectures of the digital future.

Microsoft Teams-Meeting

Join: https://teams.microsoft.com/meet/34523179561894?p=JDDSnrrrphpHnU3Alk

Meeting-ID: 345 231 795 618 94

Passcode: wH7r4iC2