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Generative adversarial networks in sound synthesis: analysis of sound modeling capabilities using GANs.

This paper explores the capabilities of Generative Adversarial Networks (GANs) for audio synthesis. Particularly, it focus on WaveGAN, which works directly with raw waveforms, and DCGAN trained on spectrogram representations. These models were trained using internal combustion engine sounds collect...

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Hlavní autoři: Michał Galant, Paweł Powroźnik
Médium: Artigo
Jazyk:Inglês
Vydáno: Lublin University of Technology 2026-06-01
Edice:Journal of Computer Sciences Institute
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On-line přístup:https://ph.pollub.pl/index.php/jcsi/article/view/8650
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