In collaboration with the MTG (Barcelona),
ANIMA develops a theoretical and practical computational framework for microtonal music co-creation, focusing on 53-TET tuning.
It combines computational modeling with music theory and computational musicology,
to design new harmonic models, and build interactive visualisation tools for real-time experimentation.
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Publication NIME 2025
// ANIMA at MTG
Ongoing PhD Theses in Algomus
- Dinh-Viet-Toan Le, Modeling Symbolic Music with Natural Language Processing Approaches, 2022-25, with L. Bigo and M. Keller
- Patrice Thibaud, Analyzing and Modeling Wind Instruments Performances, 2023-26, with L. Bigo, M. Giraud, and Y. Teytaut
- Rui Yang, Modeling and Semi-Automatic Generation of Pedagogical Musical Arrangements, 2024-27, with M. Giraud and F. Levé
- Ziyun Liu, Long-term, Curiosity-driven Learning for Mixed-initiative Musical Co-creativity, 2025-28, with F. Bertaut and K. Déguernel
Some recent or current Algomus projects
ANIMA, Interactive Microtonal Compositional Assistant
Co-creative Music Generation with Ur
Ur is a modular generative framework for co-creative music and other artistic artifacts.
It is based on concepts from procedural generation, combined with ideas from machine learning and computational creativity.
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Code
// Holly Herndon’s Exhibitions The Call (London, 2024)
and Starmirror (Berlin, 2025)
Dezrann, Interacting, Sharing, Analyzing Music Corpora
Dezrann is an open web platform designed to listen to, study, and annotate music. Users directly interact with views on music sources, such as scores, waveforms, grids, or piano rolls. Dezrann’s applications span music education, as well as corpus annotation and interaction for research in musicology and computer music.
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Details
// Dezrann web app
// Code
// Publication TISMIR 2025
MICCDroP, Co-Creative Design for Long-Term Human-AI Musical Partnerships
MICCDroP explores AI methods for lifelong learning and agent personalization within music generation,
using reinforcement and curiosity-driven learning.
Its impact on artistic collaborations will be evaluated
through the lenses of ethnographic studies and computational creativity theory.
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Website (soon) // ANR MICCDroP
MusiScale, Multiscale Structure of Music
Lead by F. Levé (UPJV, associate member of CRIStAL/Algomus), the ANR MusiScale project will develop methods and software analyzing music to extract and represent multiple structural levels, by identifying similarities and transformations across both audio and symbolic levels, and by providing tools to interact with that structure.
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Website (soon) // The MADICS MusiScale 2022-2025 action
TABASCO, Tablature Assisted Composition
Lead by L. Bigo (Univ. Bordeaux), the TABASCO project aims to develop algorithmic tools to assist guitar composition in contemporary music styles (pop, rock, metal, jazz, etc.).
It studies how guitarists compose and how tablature software shapes their creative process.
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Details
// Publications
// Alexandre D’Hooge PhD