Using Musical Relationships Between Chord Labels in Automatic Chord Extraction Tasks. - Tristan Carsault; Jérôme Nika; Philippe Esling (ISMIR, 2018)

Automatic Chord Estimation Based on a Frame-wise Convolutional Recurrent Neural Network with Non-Aligned Annotations. - Yiming Wu 003; Tristan Carsault; Kazuyoshi Yoshii (EUSIPCO, 2019)

Multi-Step Chord Sequence Prediction Based On Aggregated Multi-Scale Encoder-Decoder Networks. - Tristan Carsault; Andrew McLeod; Philippe Esling; Jérôme Nika; Eita Nakamura; Kazuyoshi Yoshii (MLSP, 2019)

Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network. - Tristan Carsault; Andrew McLeod; Philippe Esling; Jérôme Nika; Eita Nakamura; Kazuyoshi Yoshii (CoRR, 2019)

Ultra-light deep MIR by trimming lottery tickets. - Philippe Esling; Théis Bazin; Adrien Bitton; Tristan Carsault; Ninon Devis (ISMIR, 2020)

Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Discrete Labels and Continuous Textures of Chords. - Yiming Wu 003; Tristan Carsault; Eita Nakamura; Kazuyoshi Yoshii (CoRR, 2020)

Semi-Supervised Neural Chord Estimation Based on a Variational Autoencoder With Latent Chord Labels and Features. - Yiming Wu 003; Tristan Carsault; Eita Nakamura; Kazuyoshi Yoshii (IEEE ACM Trans. Audio Speech Lang. Process., 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 (2020)