Christian Bartz
Christian Bartz
Hmm, I'd say it is because the data you record via microphone is quite different to the training data and thus not on the trained data manifold. You should be...
Hi, we are already applying the model to only 10 second segments of the original audio files. The model is trained to be applied on 10 second segments, so it...
What do you mean with it stops? Is the accuracy not increasing anymore? Is the script crashing? ...?
Well, in order to help. I would need more information. What are you training on? Your own data? What is the current validation accuracy? Did you change anything in the...
It could be that your model converges, or that your learning rate is too high at this point. You could add a callback that scales the learning rate of the...
The best tip is to have a look at the documentation of Keras :wink: This page, for instance, could be helpful: https://faroit.com/keras-docs/1.2.2/callbacks/
As with most things in Deep Learning: You have to try. But my first idea would be to set it to `0.0001` and see what happens. Going any lower than...
Yes, that low amount of training data might very well be a problem. Maybe you can try to gather more data, I think this should help with your results.
Hmm, you could try with another network. Which are you using right now? I guess the height is getting too small?
try changing the model in [this](https://github.com/HPI-DeepLearning/crnn-lid/blob/master/keras/config.yaml#L13) line to `crnn`. This should give you a better model.