Embedded Files
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
Mathematical Models for the Discovery of Musical Patterns, Structures and for Performances Analysis
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)
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