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
requesting for configuring process documentation or instruction. #4
Comments
Hi,
Outputs: (in my case)
You can find the best model suited automatically:
Outputs:
To add your custom data, all you need to do is converting your audio samples to 16000 sample rate as mentioned in |
Hi, |
Hi, sorry to disturb you again, deeprec = DeepEmotionRecognizer(emotions=['angry', 'sad', 'neutral', 'ps', 'happy'], n_rnn_layers=2, n_dense_layers=2, rnn_units=128, dense_units=128, emodb=False, tess_ravdess=False, custom_db=True) But when I change these tess_ravdess and emodb to True the code works fine, can you please help and let me know where am I missing the trick here? Thank You |
Hey @Tanish18 Sorry for the late reply, I have fixed the issue, it was caused because the custom dataset doesn't have the emotions you specify. For instance, if you specify 'angry' emotion, and you do not have angry samples in the custom dataset, it will raise this error, it was there because So please pull the latest updates. Thanks. |
How can I configure it for my native language?& if I want to test yours, how would I start the training & test the model?
The text was updated successfully, but these errors were encountered: