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Can create separate branch for TTS implementation, that's the ultimate goal for every neural vocoder. I will try to use this implementation with nvidia's Tacotron2, as preprocessing for both networks …
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So far [train_second.py](https://github.com/yl4579/StyleTTS2/blob/main/train_second.py) only works with DataParallel (DP) but not DistributedDataParalell (DDP). One major problem with this is if we si…
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Hi. As is the instructions for frechet_audio_distance give errors:
```
(fad) [jon@jon-thinkpad google-research]$ python -m frechet_audio_distance.create_embeddings_main --input_files test_audio/te…
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Would be nice if you provided clear instructions on how this model can be trained on different sampling rates.
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Hi author, I have found the notes as "the generated audio has interference at a specific frequency" in this repo. I have encountered with the straight line at a specific frequency when developing si…
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**🚀 Feature Description**
Hey, we saw that there is no training code for fine-tuning all parts of XTTS V2. We would like to contribute if it adds value.
The aim can be to make it work very reliab…
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```
Traceback (most recent call last):
File "/home/ubuntu/miniconda3/envs/vllm/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/h…
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just saw this paper https://arxiv.org/abs/2110.12676, when will the repo be updated for this thanks
AK391 updated
2 years ago
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Hello everyone,
I am experimenting with training WaveGlow on a dataset of singing voice. The loss is optimizing without noticeable issue, although it seems to hardly get lower than around -4. (for …
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```
7 mel = mel_spectrogram_torch(wav, 2048, 256, 48000, 512, 2048, 0, None, False)
8 mel = mel.cuda()
----> 9 out = hifigan(mel)
10
11 wav_out = out.squeeze(0).cpu()
Ty…