Tristan Carsault - researchr alias

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Viewing Publication 1 - 6 from 6

2020

Introduction of musical knowledge and qualitative analysis in chord extraction and prediction tasks with machine learning. (Introduction de connaissances musicales et analyse qualitative pour les tâches d'extraction et de prédiction d'accords par apprentissage machine)Tristan Carsault. PhD thesis, Pierre and Marie Curie University, Paris, France, 2020. [doi]

Ultra-light deep MIR by trimming lottery ticketsPhilippe Esling, Théis Bazin, Adrien Bitton, Tristan Carsault, Ninon Devis. ismir 2020: 550-557 [doi]

Semi-Supervised Neural Chord Estimation Based on a Variational Autoencoder With Latent Chord Labels and FeaturesYiming Wu, Tristan Carsault, Eita Nakamura, Kazuyoshi Yoshii. taslp, 28:2956-2966, 2020. [doi]

2019

Multi-Step Chord Sequence Prediction Based On Aggregated Multi-Scale Encoder-Decoder NetworksTristan Carsault, Andrew Mcleod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii. mlsp 2019: 1-6 [doi]

Automatic Chord Estimation Based on a Frame-wise Convolutional Recurrent Neural Network with Non-Aligned AnnotationsYiming Wu, Tristan Carsault, Kazuyoshi Yoshii. eusipco 2019: 1-5 [doi]

2018

Using Musical Relationships Between Chord Labels in Automatic Chord Extraction TasksTristan Carsault, Jérôme Nika, Philippe Esling. ismir 2018: 18-25 [doi]

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