GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion Models

Author:

Baas Matthew1,Kamper Herman1

Affiliation:

1. Stellenbosch University,MediaLab, Electrical & Electronic Engineering,South Africa

Publisher

IEEE

Reference35 articles.

1. Alias-free generative adversarial networks;karras;NeurIPS,2021

2. Digital filters;kaiser;System Analysis by Digital Computer,1966

3. Analyzing and Improving the Image Quality of StyleGAN

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5. Improved techniques for training GANs;salimans;NeurIPS,2016

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1. Reimagining speech: a scoping review of deep learning-based methods for non-parallel voice conversion;Frontiers in Signal Processing;2024-08-16

2. A User-Guided Generation Framework for Personalized Music Synthesis Using Interactive Evolutionary Computation;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14

3. Enhancing GAN Performance Through Neural Architecture Search and Tensor Decomposition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Disentanglement in a GAN for Unconditional Speech Synthesis;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

5. PVGAN: A Pathological Voice Generation Model Incorporating a Progressive Nesting Strategy;Journal of Voice;2023-11

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