Javier Nistal

According to our database1, Javier Nistal authored at least 8 papers between 2020 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Article 
PhD thesis 
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Links

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Bibliography

2022
Exploring generative adversarial networks for controllable musical audio synthesis. (Synthèse audio musicale contrôlable à l'aide de réseaux adverses génératifs).
PhD thesis, 2022

On the Development and Practice of AI Technology for Contemporary Popular Music Production.
Trans. Int. Soc. Music. Inf. Retr., 2022

Stochastic Restoration of Heavily Compressed Musical Audio using Generative Adversarial Networks.
CoRR, 2022

DrumGAN VST: A Plugin for Drum Sound Analysis/Synthesis With Autoencoding Generative Adversarial Networks.
CoRR, 2022

2021
VQCPC-GAN: Variable-Length Adversarial Audio Synthesis Using Vector-Quantized Contrastive Predictive Coding.
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.
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.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Comparing Representations for Audio Synthesis Using Generative Adversarial Networks.
Proceedings of the 28th European Signal Processing Conference, 2020


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