38 citations · 71 across the 3 of their papers we have counts for
4 papers
Video-to-Music Recommendation using Temporal Alignment of Segments
Laure Prétet, Gaël Richard, Clément Souchier +1
We study cross-modal recommendation of music tracks to be used as soundtracks for videos. This problem is known as the music supervision task. We build on a self-supervised system…
Cross-Modal Music-Video Recommendation: A Study of Design Choices
Laure Pretet, Gael Richard, Geoffroy Peeters
In this work, we study music/video cross-modal recommendation, i.e. recommending a music track for a video or vice versa. We rely on a self-supervised learning paradigm to learn fr…
Learning to rank music tracks using triplet loss
Laure Prétet, Gaël Richard, Geoffroy Peeters
Most music streaming services rely on automatic recommendation algorithms to exploit their large music catalogs. These algorithms aim at retrieving a ranked list of music tracks ba…
Singing voice separation: a study on training data
Laure Prétet, Romain Hennequin, Jimena Royo-Letelier +1
In the recent years, singing voice separation systems showed increased performance due to the use of supervised training. The design of training datasets is known as a crucial fact…