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cs.SD2022
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…
cs.SD2022
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…
cs.SD2022
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…