New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
How to download and generate the data set #1
Comments
The model part is easy to understand I suppose! |
Stumbled upon your works! I see that you're working at the same thing as to what I did here: https://github.com/rizkiarm/LipNet It is still under development. It would be great if you can contribute towards its development and share some results with me :) |
My result is |
How did you manage to outperforms the paper (CER) in unseen speakers? |
I statistic all the metrics in The callback lipnet-replication/model/lipnet.py/StatisticCallback, which will evaluate the performace on validation set on each epoch end. Decoding I only use greedy search now. |
The CER is the same as mean edit distance. |
I see, that explains why your model achieved that much accuracy compared to mine (176 epoch compared to 15 epoch). |
That's a great task.
Please put a sample dataset for running the code.
The text was updated successfully, but these errors were encountered: