Comments (1)
We have released the pretrained SPIRAL base, Large and noise-robust base models. Please enjoy.
from speech-backbones.
Related Issues (20)
- Diffusion loss not decreasing HOT 1
- Generated outputs sound robotic in some cases! HOT 3
- Attention layer in GradTTS HOT 2
- How is `out_size` in `params` determined HOT 2
- Possibly missing __dict__ in the Projector class' constructor
- About the prior loss and MAS algorithm HOT 2
- Why does the BNE-PPG-VC model in your demo perform better than the pre-trained model given in the original paper? HOT 1
- Finetuning a Grad-TTS model on a small dataset? HOT 2
- Not able to generate audio using libritts of as good quality as using ljspeech HOT 10
- about diffVC on Mandarin datasets HOT 4
- Typo in some equations in GradTTS paper HOT 4
- Model training question HOT 4
- support for bigvgan HOT 2
- A bug in model/tts.py HOT 1
- Two questions about DiffVC
- Not possible to build HOT 1
- GradTTS device compatibility
- Different Implementation of Diffusion Model
- mels_mode generation
- Generated Samples are noisy
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from speech-backbones.