% Key papers for GAN vocoders and audio synthesis (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2020_hifi_59997,
  title = {{HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17625},
}

@inproceedings{neurips2019_melgan_58585,
  title = {{MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14399},
}

@inproceedings{aaai2018_musegan_100348,
  title = {{MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11312},
}

@inproceedings{iclr2019_gansynth_28885,
  title = {{GANSynth: Adversarial Neural Audio Synthesis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1004},
}

@inproceedings{iclr2020_high_29755,
  title = {{High Fidelity Speech Synthesis with Adversarial Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=r1gfQgSFDr},
}

@inproceedings{iclr2019_adversarial_28822,
  title = {{Adversarial Audio Synthesis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/892},
}

@inproceedings{aaai2021_cardiogan_233,
  title = {{CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00488-cardiogan-attentive-generative-adversarial-network-with-dual-discriminators-for-synthesis-of-ecg-from-ppg/},
}

@inproceedings{iclr2023_bigvgan_33018,
  title = {{BigVGAN: A Universal Neural Vocoder with Large-Scale Training}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11440},
}

@inproceedings{aaai2021_multi_1022,
  title = {{Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/13198-multi-spectrogan-high-diversity-and-high-fidelity-spectrogram-generation-with-adversarial-style-combination-for-speech-synthesis/},
}

@inproceedings{aaai2023_avocodo_3151,
  title = {{Avocodo: Generative Adversarial Network for Artifact-Free Vocoder}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26479},
}

@inproceedings{icml2019_adversarial_37142,
  title = {{Adversarial Generation of Time-Frequency Features with application in audio synthesis}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4016},
}

@inproceedings{iclr2022_chunked_31790,
  title = {{Chunked Autoregressive GAN for Conditional Waveform Synthesis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6816},
}

@inproceedings{neurips2024_finally_70203,
  title = {{FINALLY: fast and universal speech enhancement with studio-like quality}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96882},
}