| Using musical relationships between chord labels in automatic chord extraction tasks T Carsault, J Nika, P Esling arXiv preprint arXiv:1911.04973, 2019 | 22 | 2019 |
| Automatic chord estimation based on a frame-wise convolutional recurrent neural network with non-aligned annotations Y Wu, T Carsault, K Yoshii 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 16 | 2019 |
| Combining real-time extraction and prediction of musical chord progressions for creative applications T Carsault, J Nika, P Esling, G Assayag Electronics 10 (21), 2634, 2021 | 11 | 2021 |
| Semi-supervised neural chord estimation based on a variational autoencoder with latent chord labels and features Y Wu, T Carsault, E Nakamura, K Yoshii IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2956-2966, 2020 | 11 | 2020 |
| Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Networks T Carsault, A McLeod, P Esling, J Nika, E Nakamura, K Yoshii 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | 5 | 2019 |
| Automatic chord extraction and musical structure prediction through semi-supervised learning, application to human-computer improvisation T Carsault Ircam UMR STMS 9912, 2017 | 4 | 2017 |
| Ultra-light deep MIR by trimming lottery tickets P Esling, T Bazin, A Bitton, T Carsault, N Devis arXiv preprint arXiv:2007.16187, 2020 | 2 | 2020 |
| Semi-supervised neural chord estimation based on a variational autoencoder with discrete labels and continuous textures of chords Y Wu, T Carsault, E Nakamura, K Yoshii arXiv preprint arXiv:2005.07091, 2020 | 2 | 2020 |
| Introduction of musical knowledge and qualitative analysis in chord extraction and prediction tasks with machine learning T Carsault Sorbonne Universites, UPMC University of Paris 6, 2020 | 1 | 2020 |
| MERCI WP DD. Deep Discovery, Deliverable DD. 1 (V1) Report Embedding spaces and multivariate time [1] T Carsault, J Nika | | 2022 |
| Introduction of musical knowledge and qualitative analysis in chord extraction and prediction tasks with machine learning.: application to human-machine co-improvisation T Carsault Sorbonne Université, 2020 | | 2020 |
| ATIAM 2021-ML Project Music compression and generation C Douwes, T Carsault, P Esling | | |
| ATIAM 2020-ML Project Jazz standard generation using variational learning T Carsault, A Chemla–Romeu-Santos, P Esling | | |
| ATIAM 2018-ML Project Multi-step generation of chord progressions for inference in jazz through recurrent neural networks T Carsault, J Nika, P Esling | | |
