Comments (11)
We will release the pre-trained model soon. Sorry for the wait.
from autospeech.
Awesome thank you! Any chance you could provide an estimated guess of the release date. Just want to know if i should train myself or wait for the weights.
from autospeech.
Currently, I'm doing an internship outside the university. I will be able to access to models during the start of the fall semester. At the same time, I will also check with my colleagues to see if they can access the models and release them.
from autospeech.
Awesome thank you! Any chance you could provide an estimated guess of the release date. Just want to know if i should train myself or wait for the weights.
Hey, buddy. Are you reproducing the code now? I run the code, but the results are much worse than the results in the paper.
from autospeech.
Awesome thank you! Any chance you could provide an estimated guess of the release date. Just want to know if i should train myself or wait for the weights.
Hey, buddy. Are you reproducing the code now? I run the code, but the results are much worse than the results in the paper.
Please do a git pull before data processing. Previously, it extracts log spectrogram, which is different from how to obtained the results (we used magnitude spectrogram instead). We found using log spectrogram will lead to much worse results. Also, please train baselines before the proposed method to make sure data is correctly processed.
from autospeech.
Awesome thank you! Any chance you could provide an estimated guess of the release date. Just want to know if i should train myself or wait for the weights.
Hey, buddy. Are you reproducing the code now? I run the code, but the results are much worse than the results in the paper.
Please do a git pull before data processing. Previously, it extracts log spectrogram, which is different from how to obtained the results (we used magnitude spectrogram instead). We found using log spectrogram will lead to much worse results. Also, please train baselines before the proposed method to make sure data is correctly processed.
Ok, thanks.
from autospeech.
Although I followed the steps to reproduce, but I still can not get a good result. For speaker verification, the current result is about 11%
from autospeech.
Although I followed the steps to reproduce, but I still can not get a good result. For speaker verification, the current result is about 11%
Me too.
from autospeech.
@shaojinding I am very interested in your work. As far as I know, you are the first one to achieve such good results only by improving the model structure. Could you provide more detail for me to reproduce the 1.4% EER?
from autospeech.
@ChokJohn @czy97 Sorry for the late reply. We were following the wrong convention in the previous experiments, as discussed at here. We have updated the results using the correct setting and release the model. Please see the updated README.MD page for the new results and trained model.
from autospeech.
Awesome thank you! Any chance you could provide an estimated guess of the release date. Just want to know if i should train myself or wait for the weights.
Just FYI, we have updated the results using the correct data split and released the trained model.
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Related Issues (14)
- 关于代码和论文的匹配疑问 HOT 1
- How to get speaker embedding?
- Pre-trained Models HOT 1
- 'mean.npy' and 'std.npy' are missed
- How much space do i need for the preprocessing task? HOT 2
- Training data of speaker verification HOT 8
- Issue with README HOT 1
- Alpha parameters are getting turned into 'nan' values
- Reducing the batch size leads to overfitting?
- Fine tuning on a subset of data
- TypeError: type object argument after * must be an iterable, not property HOT 1
- problem HOT 1
- training search stage is very slow. HOT 1
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