1 code implementation • 26 Oct 2023 • Nathan Fradet, Jean-Pierre Briot, Fabien Chhel, Amal El Fallah Seghrouchni, Nicolas Gutowski
Recent progress in natural language processing has been adapted to the symbolic music modality.
1 code implementation • 12 Oct 2023 • Nathan Fradet, Nicolas Gutowski, Fabien Chhel, Jean-Pierre Briot
Symbolic music is widely used in various deep learning tasks, including generation, transcription, synthesis, and Music Information Retrieval (MIR).
2 code implementations • 27 Jan 2023 • Nathan Fradet, Nicolas Gutowski, Fabien Chhel, Jean-Pierre Briot
When used with deep learning, the symbolic music modality is often coupled with language model architectures.
no code implementations • 4 Jul 2022 • Gustavo Amaral Costa dos Santos, Augusto Baffa, Jean-Pierre Briot, Bruno Feijó, Antonio Luz Furtado
To adapt the music generated to the game play and to the player(s) situation, we are using an arousal-valence model of emotions, in order to control the selection of musical layers.
no code implementations • 8 Dec 2021 • Jean-Pierre Briot
The objective of this chapter is to propose some retrospective analysis of the evolution of programming abstractions, from {\em procedures}, {\em objects}, {\em actors}, {\em components}, {\em services}, up to {\em agents}, %have some compare concepts of software component and of agent (and multi-agent system), %The method chosen is to by replacing them within a general historical perspective.
no code implementations • 20 Jul 2021 • Mila Soares de Oliveira de Souza, Pedro Nuno de Souza Moura, Jean-Pierre Briot
This paper presents a comparative analysis on two artificial neural networks (with different architectures) for the task of tempo estimation.
no code implementations • 6 Jul 2021 • Constance Douwes, Philippe Esling, Jean-Pierre Briot
In most scientific domains, the deep learning community has largely focused on the quality of deep generative models, resulting in highly accurate and successful solutions.
no code implementations • 7 Apr 2020 • Jean-Pierre Briot
The current wave of deep learning (the hyper-vitamined return of artificial neural networks) applies not only to traditional statistical machine learning tasks: prediction and classification (e. g., for weather prediction and pattern recognition), but has already conquered other areas, such as translation.
no code implementations • 9 Dec 2017 • Jean-Pierre Briot, François Pachet
In addition to traditional tasks such as prediction, classification and translation, deep learning is receiving growing attention as an approach for music generation, as witnessed by recent research groups such as Magenta at Google and CTRL (Creator Technology Research Lab) at Spotify.
1 code implementation • 5 Sep 2017 • Jean-Pierre Briot, Gaëtan Hadjeres, François-David Pachet
Examples are: scalar, one-hot or many-hot.
no code implementations • 3 May 2017 • Maira Gatti de Bayser, Paulo Cavalin, Renan Souza, Alan Braz, Heloisa Candello, Claudio Pinhanez, Jean-Pierre Briot
Multi-party Conversational Systems are systems with natural language interaction between one or more people or systems.