[HTML][HTML] A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
Currently available reviews in the area of artificial intelligence-based music generation do
not provide a wide range of publications and are usually centered around comparing very …
not provide a wide range of publications and are usually centered around comparing very …
A comprehensive survey on deep music generation: Multi-level representations, algorithms, evaluations, and future directions
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 …
[图书][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 …
Deep learning for music generation: challenges and directions
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 …
learning is receiving growing attention as an approach for music generation, as witnessed …
Achieving optimal paper properties: A layered multiscale kMC and LSTM-ANN-based control approach for kraft pulping
The growing demand for various types of paper highlights the importance of optimizing the
kraft pulping process to achieve desired paper properties. This work proposes a novel …
kraft pulping process to achieve desired paper properties. This work proposes a novel …
Music generation by deep learning-challenges and directions
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 …
learning is receiving growing attention as an approach for music generation, as witnessed …
Comprehensive exploration of synthetic data generation: A survey
Recent years have witnessed a surge in the popularity of Machine Learning (ML), applied
across diverse domains. However, progress is impeded by the scarcity of training data due …
across diverse domains. However, progress is impeded by the scarcity of training data due …
Temperature prediction using multivariate time series deep learning in the lining of an electric arc furnace for ferronickel production
JX Leon-Medina, J Camacho, C Gutierrez-Osorio… - Sensors, 2021 - mdpi.com
The analysis of data from sensors in structures subjected to extreme conditions such as the
ones used in smelting processes is a great decision tool that allows knowing the behavior of …
ones used in smelting processes is a great decision tool that allows knowing the behavior of …
High-level control of drum track generation using learned patterns of rhythmic interaction
S Lattner, M Grachten - … on Applications of Signal Processing to …, 2019 - ieeexplore.ieee.org
Spurred by the potential of deep learning, computational music generation has gained
renewed academic interest. A crucial issue in music generation is that of user control …
renewed academic interest. A crucial issue in music generation is that of user control …