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Hi, thanks for sharing the code, it is well appreciated. Some questions:
- Do you train with mean-var normalization? If not, what is the range normalization?
- I tried to plug in the models using …
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I have some questions regarding the evaluation metrics and results presented in Sections 4.4 and 4.5.
## Intra-dataset Evaluation (Section 4.4)
The paper reports a very low EER of 0.19% on the Wav…
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The hparams.py says `n_frames_per_step=1, # currently only 1 is supported`, but reduction window is very important for them model to pick up alignment. Using a reduction window can be considered as d…
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Thanks for your code, but I want to learn how to use your modle to train a new set of data, so can you provide a train.py file?
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I notice 16khz seems to be hard programmed into the code for the downsampling phase. I think supporting more modular sample rates for inference audio would make sense. With librosa the standard for ha…
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Thanks for the wonderful work you've done.
I looked at the config.json in the ckpt folder, sounds like you trained the original model on 16khz. I know hop and win length must be tweaked if we're go…
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Hello Author ,
This is an amazing open source project especially for vocoders.
I was wondering if I can get the 78 hours dataset ? and if it is used in any training I would definitely cite you/the r…
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Hi! Jus trying to run a simple demo. Currently following all the demos/examples/other people's tutorials and I have everything set up the same as them, but i keep getting errors. I'm wondering if you …
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Has anyone considered using WaveRNN via Pytorch instead of "vocos"? I'm trying to think of ways to solve the issue that vocos can't be used via MPS on MacOS. Even WaveRNN might still require the ope…
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Hi, this model looks great. I was wondering whether you knew how much of the performance can be attributed to using Rectified Flow as opposed to the GAN Vocos is using.