iSTFT Avocodo pytorch

iStft鱷梨vocoder

ISTFT的發電機和鱷梨的歧視器。與原始的hifi-gan相比，使用faster分支進行超快速訓練和推理。

訓練 ：

 python train.py --config config_v1.json

注意：

• ISTFT發電機版本中的兩個可以與鱷梨歧視器一起使用。
• 損失應類似於Hifi-GAN。
• 該倉庫的faster分支在訓練中的速度為50％（0.33 s/b），推理速度提高了60％。
• 質量不如鱷梨和ISTFTNET。

參考 ：

• https://github.com/rishikksh20/istftnet-pytorch
• https://github.com/rishikksh20/avocodo-pytorch
• https://github.com/jik876/hifi-gan

引用：

 @inproceedings{kaneko2022istftnet,
title={{iSTFTNet}: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform},
author={Takuhiro Kaneko and Kou Tanaka and Hirokazu Kameoka and Shogo Seki},
booktitle={ICASSP},
year={2022},
}

 @misc{https://doi.org/10.48550/arxiv.2206.13404,
  doi = {10.48550/ARXIV.2206.13404},
  
  url = {https://arxiv.org/abs/2206.13404},
  
  author = {Bak, Taejun and Lee, Junmo and Bae, Hanbin and Yang, Jinhyeok and Bae, Jae-Sung and Joo, Young-Sun},
  
  keywords = {Audio and Speech Processing (eess.AS), Artificial Intelligence (cs.AI), Sound (cs.SD), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Computer and information sciences, FOS: Computer and information sciences},
  
  title = {Avocodo: Generative Adversarial Network for Artifact-free Vocoder},
  
  publisher = {arXiv},
  
  year = {2022},
  
  copyright = {arXiv.org perpetual, non-exclusive license}
}