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MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long
  samples using Spectrograms

MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms

8 October 2019
Marco Pasini
ArXivPDFHTML

Papers citing "MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms"

4 / 4 papers shown
Title
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements
Sandipan Dhar
N. D. Jana
Swagatam Das
43
0
0
27 Apr 2025
Adversarial representation learning for private speech generation
Adversarial representation learning for private speech generation
David Ericsson
Adam Östberg
Edvin Listo Zec
John Martinsson
Olof Mogren
10
16
0
16 Jun 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
267
10,348
0
12 Dec 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,173
0
16 Sep 2016
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