A survey on deep learning for symbolic music generation: Representations, algorithms, evaluations, and challenges
S Ji, X Yang, J Luo - ACM Computing Surveys, 2023 - dl.acm.org
Significant progress has been made in symbolic music generation with the help of deep
learning techniques. However, the tasks covered by symbolic music generation have not …
learning techniques. However, the tasks covered by symbolic music generation have not …
A comprehensive survey on deep music generation: Multi-level representations, algorithms, evaluations, and future directions
S Ji, J Luo, X Yang - arxiv preprint arxiv:2011.06801, 2020 - arxiv.org
The utilization of deep learning techniques in generating various contents (such as image,
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …
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 …
[BOOK][B] Deep learning techniques for music generation
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 …
On the evaluation of generative models in music
The modeling of artificial, human-level creativity is becoming more and more achievable. In
recent years, neural networks have been successfully applied to different tasks such as …
recent years, neural networks have been successfully applied to different tasks such as …
Popmag: Pop music accompaniment generation
In pop music, accompaniments are usually played by multiple instruments (tracks) such as
drum, bass, string and guitar, and can make a song more expressive and contagious by …
drum, bass, string and guitar, and can make a song more expressive and contagious by …
Conditional LSTM-GAN for melody generation from lyrics
Melody generation from lyrics has been a challenging research issue in the field of artificial
intelligence and music, which enables us to learn and discover latent relationships between …
intelligence and music, which enables us to learn and discover latent relationships between …
Data2vis: Automatic generation of data visualizations using sequence-to-sequence recurrent neural networks
Rapidly creating effective visualizations using expressive grammars is challenging for users
who have limited time and limited skills in statistics and data visualization. Even high-level …
who have limited time and limited skills in statistics and data visualization. Even high-level …
LakhNES: Improving multi-instrumental music generation with cross-domain pre-training
We are interested in the task of generating multi-instrumental music scores. The Transformer
architecture has recently shown great promise for the task of piano score generation; here …
architecture has recently shown great promise for the task of piano score generation; here …
MIDI-VAE: Modeling dynamics and instrumentation of music with applications to style transfer
We introduce MIDI-VAE, a neural network model based on Variational Autoencoders that is
capable of handling polyphonic music with multiple instrument tracks, as well as modeling …
capable of handling polyphonic music with multiple instrument tracks, as well as modeling …