Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking. - Magdalena Fuentes; Brian McFee; Hélène C. Crayencour; Slim Essid; Juan Pablo Bello (ISMIR, 2018)

Don't hide in the frames: Note- and pattern-based evaluation of automated melody extraction algorithms. - Klaus Frieler; Dogac Basaran; Frank Höger; Hélène Camille Crayencour; Geoffroy Peeters; Simon Dixon (DLfM, 2019)

A Music Structure Informed Downbeat Tracking System Using Skip-chain Conditional Random Fields and Deep Learning. - Magdalena Fuentes; Brian McFee; Hélène C. Crayencour; Slim Essid; Juan Pablo Bello (ICASSP, 2019)

Tracking Beats and Microtiming in Afro-Latin American Music Using Conditional Random Fields and Deep Learning. - Magdalena Fuentes; Lucas Simões Maia; Martín Rocamora; Luiz W. P. Biscainho; Hélène Camille Crayencour; Slim Essid; Juan Pablo Bello (ISMIR, 2019)

Learning, Probability and Logic: Toward a Unified Approach for Content-Based Music Information Retrieval. - Hélène C. Crayencour; Carmine-Emanuele Cella (Frontiers Digit. Humanit., 2019)

Learning Multi-Level Representations for Hierarchical Music Structure Analysis.. - Morgan Buisson; Brian McFee; Slim Essid; Hélène C. Crayencour (ISMIR, 2022)

The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. - Polina Proutskova; Daniel Wolff; György Fazekas; Klaus Frieler; Frank Höger; Olga Velichkina; Gabriel Solis; Tillman Weyde; Martin Pfleiderer; Hélène Camille Crayencour; Geoffroy Peeters; Simon Dixon (J. Web Semant., 2022)

A Repetition-Based Triplet Mining Approach for Music Segmentation. - Morgan Buisson; Brian McFee; Slim Essid; Hélène C. Crayencour (ISMIR, 2023)

Self-Supervised Learning of Multi-Level Audio Representations for Music Segmentation. - Morgan Buisson; Brian McFee; Slim Essid; Hélène C. Crayencour (IEEE ACM Trans. Audio Speech Lang. Process., 2024)