readme: ### The MelGAN vocoder for StyleSpeech
  #### About StyleSpeech
  * StyleSpeech or Meta-StyleSpeech is a model for Multi-Speaker Adaptive Text-to-Speech Generation
  * The StyleSpeech model can be trained by official implementation (https://github.com/KevinMIN95/StyleSpeech).
  #### About MelGAN vocoder
  * This MelGAN vocoder is used to transform the mel-spectrogram back to the waveform. 
  * StyleSpeech is based on 16k Hz sampling rate, and there is no available 16k Hz multi-speaker vocoder.
  * Thus I train this vocoder from scratch using Libri-TTS train-100 hour dataset. The training pipeline is the same as the official MelGAN (https://github.com/descriptinc/melgan-neurips).
  * The synthesized sounds are close to the official demo with good quality.
  #### Usage
  * Please follow the official MelGAN (https://github.com/descriptinc/melgan-neurips) to load pre-trained checkpoint and convert your mel-spectrogram back to the waveform.
  
  #### Training Details 
  * GPU: RTX 2080Ti
  * Training epoch: 3000
  