| ### 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 | |