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Deep learning techniques for music generation--a survey
This paper is a survey and an analysis of different ways of using deep learning (deep
artificial neural networks) to generate musical content. We propose a methodology based on …
artificial neural networks) to generate musical content. We propose a methodology based on …
[کتاب][B] Deep learning techniques for music generation
JP Briot, G Hadjeres, FD Pachet - 2020 - Springer
Jean-Pierre Briot Gaëtan Hadjeres François-David Pachet Page 1 Computational Synthesis
and Creative Systems Jean-Pierre Briot Gaëtan Hadjeres François-David Pachet Deep …
and Creative Systems Jean-Pierre Briot Gaëtan Hadjeres François-David Pachet Deep …
Natural language statistical features of LSTM-generated texts
Long short-term memory (LSTM) networks have recently shown remarkable performance in
several tasks that are dealing with natural language generation, such as image captioning …
several tasks that are dealing with natural language generation, such as image captioning …
Assisted music creation with flow machines: towards new categories of new
This chapter reflects on about 10 years of research in AI-assisted music composition, in
particular during the Flow Machines project. We reflect on the motivations for such a project …
particular during the Flow Machines project. We reflect on the motivations for such a project …
An adaptive music generation architecture for games based on the deep learning Transformer model
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 …
Transformer deep learning model. Our motivation is to be able to customize the generation …
Exact sampling for regular and Markov constraints with belief propagation
Sampling random sequences from a statistical model, subject to hard constraints, is
generally a difficult task. In this paper, we show that for Markov models and a set of Regular …
generally a difficult task. In this paper, we show that for Markov models and a set of Regular …
Music and artificial intelligence
P Saint-Dizier - A Guided Tour of Artificial Intelligence Research …, 2020 - Springer
Besides its obvious emotional and psychological dimensions, music is also a very rational
system that obeys complex and relatively rigorous construction laws. Aristotle argued that …
system that obeys complex and relatively rigorous construction laws. Aristotle argued that …
An adaptive music generation architecture for games based on the deep learning transformer mode
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 …
Transformer deep learning model. Our motivation is to be able to customize the generation …
Computer assisted composition with recurrent neural networks
Sequence modeling with neural networks has lead to powerful models of symbolic music
data. We address the problem of exploiting these models to reach creative musical goals, by …
data. We address the problem of exploiting these models to reach creative musical goals, by …
[PDF][PDF] IA et dé-coïncidence créative
JP Briot - 2024 - hal.science
La création automatisée de contenu par des techniques d'IA générative a un impact
grandissant sur les pratiques de création, l'exemple le plus connu étant la génération de …
grandissant sur les pratiques de création, l'exemple le plus connu étant la génération de …