-
Hello.
I am a big fan of you . I tried to train FastSpeech2 model for my language but the result is not too good.
I used character level for MFA aligner and a dataset contain one speaker. My batc…
-
### 🚀 The feature, motivation and pitch
The functions `is_tuple`, `is_list`, `is_dict`, `is_optional`, `is_union`, `is_future` (all in `torch/_jit_internal`) might throw exceptions when called fro…
-
I have placed the model in vc/models/ and executed WebUI. I can select the model name in Voice Conversion. However, when I click on 'Generate From Text', the following error appears and no audio is cr…
-
### 🚀 The feature, motivation and pitch
As we can see, Google Gemini can support up to million tokens and to serve longer context length, we have to do context parallelism, which means, split the i…
-
Hello,
I am using the pretrained MusicVAE to decode an arbitrary latent space z from `numpy.random.randn(batch, latent_dims)`. After decoding, I re-encode the NoteSequence to extract z, mu, and sig…
-
The 3-point landing is not possible with the current FDM. It is important for short landing (e.g. in the bush). And slats will be useless otherwise. This point is one of the most interesting features …
-
### Description & Motivation
PyTorch has a utility to force deterministic algorithms via
```py
torch.use_deterministic_algorithms(True)
torch.backends.cudnn.benchmark = False
```
This can …
-
Hi, I have my Fastspeech model trained and working well, and I want to improve the speed by running the model on Tensor RT (maybe convert preprocess code to C++ later). Currently I am following this e…
-
Please complete all of the following sections, or the ghost of Joseph Pulitzer will spookily dance around your issue! A completed version of this template can be found at https://github.com/jsoma/data…
-
## 🚀 Feature
Progress tracking during a semantic segmentation task.
Visualization of the prediction of the current state of the model on custom-defined example images. (Maybe some obvious classes …