A Web Interface for Real-Time Interaction with Machine Learning in Musical Performance

Performing with the inclusive machine: Roadmap for the design of AI collaborative musical instrument

The hypothesis is that control and agency is distributed by machine learning’s algorithms, in which designer and performer, have to navigate through the feedback system made of gestures, latent space and spatialized sound.

Re-Animating the Archive: Performing a Machine Learning System as Living Memory

OTIAC – Co-Improvising With a Musical Agent in a Feedback-Based Guitar Performance

Mapping codependency: Intermedial causality in real-time audiovisual performance

This paper examines how multimodal mapping can function as a collaborative methodology in real-time audiovisual performance. It explores how functional codependency and real-time risk create bonds between artists, becoming fundamental narrative and dramaturgical vectors, and revealing the aesthetic influence of the t...

ScorePrompts: Natural-Language Exploration of Symbolic Music Scores through Analysis

We present ScorePrompts, an interactive system in which users upload a score, receive natural-language descriptions of its musical structure, ask questions about specific passages, and inspect the corresponding analysis results in staff notation. Specialist MIR components first estimate harmony, tonality, cadences, for...

A Multi-User Interface for Real-Time Intonation Monitoring in Music Ensembles