1 code implementation • 12 Nov 2019 • Tristan Carsault, Andrew McLeod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii
In this paper, we postulate that this comes from the multi-scale structure of musical information and propose new architectures based on an iterative temporal aggregation of input labels.
1 code implementation • 12 Nov 2019 • Tristan Carsault, Jérôme Nika, Philippe Esling
Recent researches on Automatic Chord Extraction (ACE) have focused on the improvement of models based on machine learning.
1 code implementation • 14 May 2020 • Yiming Wu, Tristan Carsault, Eita Nakamura, Kazuyoshi Yoshii
In contrast, we propose a unified generative and discriminative approach in the framework of amortized variational inference.
1 code implementation • 31 Jul 2020 • Philippe Esling, Theis Bazin, Adrien Bitton, Tristan Carsault, Ninon Devis
We show that our proposal can remove up to 90% of the model parameters without loss of accuracy, leading to ultra-light deep MIR models.