Algorithmic composition of melodies with deep recurrent neural networks

F Colombo, SP Muscinelli, A Seeholzer, J Brea… - arXiv preprint arXiv …, 2016 - arxiv.org
A big challenge in algorithmic composition is to devise a model that is both easily trainable
and able to reproduce the long-range temporal dependencies typical of music. Here we …
被引用次数：65 相关文章
[PDF] core.ac.uk

[PDF][PDF] Algorithmic Composition of Melodies with Deep Recurrent Neural Networks

F Colombo, SP Muscinelli, A Seeholzer, J Brea… - core.ac.uk
A big challenge in algorithmic composition is to devise a model that is both easily trainable
and able to reproduce the long-range temporal dependencies typical of music. Here we …

Algorithmic Composition of Melodies with Deep Recurrent Neural Networks

F Colombo, SP Muscinelli, A Seeholzer… - Proceedings of the …, 2016 - infoscience.epfl.ch
A big challenge in algorithmic composition is to devise a model that is both easily trainable
and able to reproduce the long-range temporal dependencies typical of music. Here we …
[PDF] researchgate.net

[PDF][PDF] Algorithmic Composition of Melodies with Deep Recurrent Neural Networks

F Colombo, SP Muscinelli, A Seeholzer, J Brea… - researchgate.net
A big challenge in algorithmic composition is to devise a model that is both easily trainable
and able to reproduce the long-range temporal dependencies typical of music. Here we …

Algorithmic Composition of Melodies with Deep Recurrent Neural Networks

F Colombo, SP Muscinelli, A Seeholzer, J Brea… - arXiv e …, 2016 - ui.adsabs.harvard.edu
A big challenge in algorithmic composition is to devise a model that is both easily trainable
and able to reproduce the long-range temporal dependencies typical of music. Here we …

Algorithmic composition of melodies with deep recurrent neural networks

F Colombo - … Learning Machine Learning Summer School 2016, 2016 - infoscience.epfl.ch
A big challenge in algorithmic composition is to devise a model that is both easily trainable
and able to reproduce the long-range temporal dependencies typical of music. Here we …
[PDF] core.ac.uk

[PDF][PDF] Algorithmic composition of melodies with deep recurrent neural networks

F Colombo, A Seeholzer, SP Muscinelli, J Brea… - core.ac.uk
A big challenge in algorithmic composition is to devise a model that is both easily trainable
and able to reproduce the long-range temporal dependencies typical of music. Here we …