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24 lines
1.4 KiB
Markdown
24 lines
1.4 KiB
Markdown
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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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- 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.researchgate.net/publication/323142038_Synthesizing_Audio_with_Generative_Adversarial_Networks
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- https://theses.hal.science/tel-03640610/document
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- !!!!
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- https://acris.aalto.fi/ws/portalfiles/portal/103531495/BEHM_GAN_Bandwidth_Extension_of_Historical_Music_Using_Generative_Adversarial_Networks.pdf
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- https://speech.ee.ntu.edu.tw/~tlkagk/paper/audio2image.pdf
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- TOWARDS AUDIO TO SCENE IMAGE SYNTHESIS USING GENERATIVE ADVERSARIAL NETWORK
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- https://rawalvarun.github.io/files/project_reports/10_701_FINAL_PROJECT_REPORT_vrawal.pdf
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- https://github.com/rawalvarun?tab=repositories
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- cars
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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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- speeach
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- https://pytorch.org/hub/nvidia_deeplearningexamples_hifigan/
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- others
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- https://pytorch.org/hub/research-models
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- https://journals.sagepub.com/doi/full/10.1177/1550147720923529
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