Exploring generative adversarial networks for controllable musical audio synthesis. (Synthèse audio musicale contrôlable à l'aide de réseaux adverses génératifs).

[BibT_eX]

[DOI]

Javier Nistal

PhD thesis, 2022

On the Development and Practice of AI Technology for Contemporary Popular Music Production.

[BibT_eX]

[DOI]

Trans. Int. Soc. Music. Inf. Retr., 2022

Stochastic Restoration of Heavily Compressed Musical Audio using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Stefan Lattner

Javier Nistal

CoRR, 2022

DrumGAN VST: A Plugin for Drum Sound Analysis/Synthesis With Autoencoding Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2022

2021

VQCPC-GAN: Variable-Length Adversarial Audio Synthesis Using Vector-Quantized Contrastive Predictive Coding.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis With GANs.

[BibT_eX]

[DOI]

Javier Nistal

Stefan Lattner

Gaël Richard

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020

DRUMGAN: Synthesis of Drum Sounds with Timbral Feature Conditioning Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Javier Nistal

Stefan Lattner

Gaël Richard

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Comparing Representations for Audio Synthesis Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Javier Nistal

Stefan Lattner

Gaël Richard

Proceedings of the 28th European Signal Processing Conference, 2020

Javier Nistal

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