Academic Work
Peer-Reviewed Publications
Paul Lascabettes & Isabelle Bloch (2024). What Are "Good" Rhythms? Generating Rhythms Based on the Properties Set Out in The Geometry of Musical Rhythm, Mathematics and Computation in Music.
Paul Lascabettes & Isabelle Bloch (2024). What Are "Good" Rhythms? Generating Rhythms Based on the Properties Set Out in The Geometry of Musical Rhythm, Mathematics and Computation in Music.
Corentin Guichaoua, Paul Lascabettes & Elaine Chew (2024). End-to-End Bayesian Segmentation and Similarity Assessment of Performed Music Tempo and Dynamics without Score Information, Music & Science.
Corentin Guichaoua, Paul Lascabettes & Elaine Chew (2024). End-to-End Bayesian Segmentation and Similarity Assessment of Performed Music Tempo and Dynamics without Score Information, Music & Science.
Paul Lascabettes & Isabelle Bloch (2024). Discovering Repeated Patterns From the Onsets in a Multidimensional Representation of Music, Discrete Geometry and Mathematical Morphology.
Paul Lascabettes & Isabelle Bloch (2024). Discovering Repeated Patterns From the Onsets in a Multidimensional Representation of Music, Discrete Geometry and Mathematical Morphology.
Paul Lascabettes, Elaine Chew & Isabelle Bloch (2023). Characterizing and Interpreting Music Expressivity through Rhythm and Loudness Simplices, International Computer Music Conference.
Paul Lascabettes, Elaine Chew & Isabelle Bloch (2023). Characterizing and Interpreting Music Expressivity through Rhythm and Loudness Simplices, International Computer Music Conference.
Paul Lascabettes, Carlos Agon, Moreno Andreatta & Isabelle Bloch (2022). Computational Analysis of Musical Structures based on Morphological Filters, Mathematics and Computation in Music.
Paul Lascabettes, Carlos Agon, Moreno Andreatta & Isabelle Bloch (2022). Computational Analysis of Musical Structures based on Morphological Filters, Mathematics and Computation in Music.
Paul Lascabettes, Corentin Guichaoua, & Elaine Chew (2022). Generating Multiple Hierarchical Segmentations of Music Sequences Using Adapted Correlative Matrices, Sound and Music Computing.
Paul Lascabettes, Corentin Guichaoua, & Elaine Chew (2022). Generating Multiple Hierarchical Segmentations of Music Sequences Using Adapted Correlative Matrices, Sound and Music Computing.
Paul Lascabettes, Isabelle Bloch & Carlos Agon (2020). Analyse de représentations spatiales de la musique par des opérateurs simples de morphologie mathématique, Journées d'Informatique Musicale.
Paul Lascabettes, Isabelle Bloch & Carlos Agon (2020). Analyse de représentations spatiales de la musique par des opérateurs simples de morphologie mathématique, Journées d'Informatique Musicale.
PhD Dissertation
Supervised by Isabelle Bloch & Elaine Chew at Ircam/Sorbonne University in the Music Representation Team (2020 - 2023).
Research Experiences
Research Internship (10 months in 2020) - Computational Pattern Discovery for the Analysis of Bach’s Well-Tempered Clavier Fugues, supervised by Andrew Milne and David Bulger (Western Sydney University, Sydney)
Master 2 Internship (6 months in 2019) - Mathematical Morphology Applied to Music, supervised by Carlos Agon, Isabelle Bloch and Moreno Andreatta (IRCAM, Paris)
Master 1 Internship (4 months in 2018) - Persistent Homology Applied to Music, supervised by Moreno Andreatta (IRMA, Strasbourg)