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- https://magenta.tensorflow.org/gansynth
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- https://www.mathworks.com/help/audio/ug/train-gan-for-sound-synthesis.html
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- https://daps.cs.princeton.edu/projects/HiFi-GAN/index.php?env-pairs=DAPS&speaker=f10&src-env=all
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- https://github.com/chrisdonahue/wavegan
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- https://www.arxiv-vanity.com/papers/1802.04208/
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- https://github.com/luickk/gan-audio-generator
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- pdfs
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- https://www.cs.umd.edu/sites/default/files/scholarly_papers/Yang%2C%20Fan_MS%20scholarly%20paper.pdf
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- https://www.isca-speech.org/archive/pdfs/interspeech_2021/kim21f_interspeech.pdf
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- https://www.hindawi.com/journals/sv/2020/8888578/
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- ??
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- https://www.semanticscholar.org/paper/Audio-inpainting-with-generative-adversarial-Ebner-Eltelt/bbd9ea6aa8db09aa9f4f2c20ff9755fc74c3771f
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- https://minds.wisconsin.edu/handle/1793/82595 audioSinGAN
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- online
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- https://www.leewayhertz.com/how-to-create-a-generative-audio-model/
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- https://stackoverflow.com/questions/74504746/how-to-create-an-audio-conditional-gan-pytorch pytorch
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- https://ieeexplore.ieee.org/document/9430540
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- Towards an End-to-End Visual-to-Raw-Audio Generation With GAN
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- speeach
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- https://pytorch.org/hub/nvidia_deeplearningexamples_hifigan/
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