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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

Training Details

  • GPU: RTX 2080Ti
  • Training epoch: 3000
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