YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
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
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.