ANGELIA: a hybrid emotional AI for electronic music
Event description
- Arts and entertainment
- Campus life
- Free
- Open to the public
A joint event with the School of Arts, Media and Engineering and the School of Computing and Augmented Intelligence.
Most people and even musicians have a difficult time admitting that music can be represented and created with algorithms. However, the history of music shows that algorithms and formal approaches have played an important role. It has a long history and artificial intelligence is its logical continuity.
After a brief historical survey, Jean-Claude Heudin will describe the principles of ANGELIA, an art and artificial intelligence project for electronic music in the framework of the "hyperorchestration" approach. ANGELIA is a hybrid emotional AI based on a dedicated musical programming language that enables to use bio-inspired algorithms for composing and performing, such as neural networks, markov chains, cellular automata, fractal development, and a corpus-based genetic algorithm. It includes also a feedback loop based on an "emotional metabolism" that modifies the expressiveness of the interpretation. ANGELIA is designed as a music companion, allowing the musician to compose and perform as a duo. Connected to a modular synthesizer, it becomes a sort of hyperinstrument.
Jean-Claude Heudin is a scientist, composer and writer. He holds a Ph.D. and the Director of Research Degree from the University of Paris-Sud. He is the author of numerous international scientific papers as well as several books in the fields of artificial intelligence and complexity science published by Odile Jacob, and Science eBook he founded. His current research focuses on emotional AI for contemporary electronic music.
Learn more about the artist at www.jcheudin.fr/.