The study uses online video observation to investigate patterns of interactivity. Relations of affordances, temporal constraints and liveness between code the music are visualized as a modular framework. The aim is for the reader to employ the map for interactive AI applications.

AIMC23 Abstract Submission

On the semantic conditioning of affective music generation

This paper introduces a new course on deep learning with audio that aims to equip students with the necessary skills and knowledge to explore and practice the rapidly evolving AI music technologies.

(long paper published at AIMC 2023)

Three Strategies for Incorporating Artificial Intelligence into the Compositional Process of Orchestral Music

This paper explores the use of Variational Autoencoders (VAEs) to produce latent spaces for tonal music representation and evaluates their effectiveness in defining cognitive distances from musical pitch.

A Novel state-of-the-art approach for Raga detection

Workshop Proposal for AIMC 2023

Tutorial Proposal for AIMC 2023

Full-day hands-on workshop exploring state-of-the-art AI/ML instrument design tools.

The audio-visual performance titled Uncanny combines AI-driven sound synthesis and image generation methods with live coding techniques.

Johann Sperger's sonata for contrabass and viola revisited through AI generated soundscapes

Submission for performance

Proposal for Algorave Performance

An artificially unintelligible exploration of voice

AIMC2023 Performance Proposal

Short Paper

For two flutes and live electronics

AI and human pianist perform duo improvisation in real-time

Automatic Affective Virtual Environment Generation

AI Raga Music Generation

A pilot machine learning model for generating infinite pseudo-natural soundscapes

Demo

Interactive Rhythm Generation through Musical Actions