Enhancing downbeat detection when facing different music styles. - Simon Durand; Bertrand David 002; Gaël Richard (ICASSP, 2014)

Downbeat tracking with multiple features and deep neural networks. - Simon Durand; Juan Pablo Bello; Bertrand David 002; Gaël Richard (ICASSP, 2015)

A Conditional Random Field system for beat tracking. - Thomas Fillon; Cyril Joder; Simon Durand; Slim Essid (ICASSP, 2015)

Feature adapted convolutional neural networks for downbeat tracking. - Simon Durand; Juan Pablo Bello; Bertrand David 002; Gaël Richard (ICASSP, 2016)

Downbeat Detection with Conditional Random Fields and Deep Learned Features. - Simon Durand; Slim Essid (ISMIR, 2016)

Robust Downbeat Tracking Using an Ensemble of Convolutional Networks. - Simon Durand; Juan Pablo Bello; Bertrand David 002; Gaël Richard (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition. - Eric Humphrey; Simon Durand; Brian McFee (ISMIR, 2018)

End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-character Recognition Model. - Daniel Stoller; Simon Durand; Sebastian Ewert (ICASSP, 2019)

Data Cleansing with Contrastive Learning for Vocal Note Event Annotations. - Gabriel Meseguer-Brocal; Rachel M. Bittner; Simon Durand; Brian Brost (ISMIR, 2020)

Dereverberation using joint estimation of dry speech signal and acoustic system. - Sanna Wager; Keunwoo Choi; Simon Durand (CoRR, 2020)

Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages. - Simon Durand; Daniel Stoller; Sebastian Ewert (ICASSP, 2023)

LLark: A Multimodal Foundation Model for Music. - Josh Gardner 001; Simon Durand; Daniel Stoller; Rachel M. Bittner (CoRR, 2023)

LLark: A Multimodal Instruction-Following Language Model for Music. - Joshua Patrick Gardner; Simon Durand; Daniel Stoller; Rachel M. Bittner (ICML, 2024)

Automatic Identification of Samples in Hip-Hop Music via Multi-Loss Training and an Artificial Dataset. - Huw Cheston; Jan Van Balen; Simon Durand (CoRR, 2025)