22 citations · 54 across the 8 of their papers we have counts for
13 papers
SSM-Net: feature learning for Music Structure Analysis using a Self-Similarity-Matrix based loss
Geoffroy Peeters, Florian Angulo
In this paper, we propose a new paradigm to learn audio features for Music Structure Analysis (MSA). We train a deep encoder to learn features such that the Self-Similarity-Matrix…
Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts
Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters +1
As music has become more available especially on music streaming platforms, people have started to have distinct preferences to fit to their varying listening situations, also know…
Deep-Learning Architectures for Multi-Pitch Estimation: Towards Reliable Evaluation
Christof Weiß, Geoffroy Peeters
Extracting pitch information from music recordings is a challenging but important problem in music signal processing. Frame-wise transcription or multi-pitch estimation aims for de…
Is there a "language of music-video clips" ? A qualitative and quantitative study
Laure Prétet, Gaël Richard, Geoffroy Peeters
Recommending automatically a video given a music or a music given a video has become an important asset for the audiovisual industry - with user-generated or professional content.…
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…
Content based singing voice source separation via strong conditioning using aligned phonemes
Gabriel Meseguer-Brocal, Geoffroy Peeters
Informed source separation has recently gained renewed interest with the introduction of neural networks and the availability of large multitrack datasets containing both the mixtu…