4 citations · 7 across the 5 of their papers we have counts for
7 papers
miditok: A Python package for MIDI file tokenization
Nathan Fradet, Jean-Pierre Briot, Fabien Chhel +2
Recent progress in natural language processing has been adapted to the symbolic music modality. Language models, such as Transformers, have been used with symbolic music for a vari…
Impact of time and note duration tokenizations on deep learning symbolic music modeling
Nathan Fradet, Nicolas Gutowski, Fabien Chhel +1
Symbolic music is widely used in various deep learning tasks, including generation, transcription, synthesis, and Music Information Retrieval (MIR). It is mostly employed with disc…
An adaptive music generation architecture for games based on the deep learning Transformer mode
Gustavo Amaral Costa dos Santos, Augusto Baffa, Jean-Pierre Briot +2
This paper presents an architecture for generating music for video games based on the Transformer deep learning model. Our motivation is to be able to customize the generation acco…
Music Tempo Estimation via Neural Networks -- A Comparative Analysis
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. For this purpose, it also proposes the…
Energy Consumption of Deep Generative Audio Models
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. However…
From Artificial Neural Networks to Deep Learning for Music Generation -- History, Concepts and Trends
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 clas…