Two questions about `smooth_loss` in `audio2headpose_model` about livespeechportraits HOT 2 CLOSED

Training the audio2headpose module using smooth loss is one of my history experiments. Actually, I didn't use this smooth loss finally, where I only use the probabilistic loss as demonstrated in the paper. I think this smooth loss doesn't work obviously as I remember, so it is deprecated.

Sorry that I didn't clean up the training-related codes clearly and they confuse your training.

Gaussian Mixture Model is just a multi-gaussian version loss, and I just use one gaussian so it degrades to a single Gaussian distribution. I describe it in the code comments on in GMM loss function.

I didn't know any alternative to this loss and this is my implementation. You can check it on the internet and write your own version to speed it up.

from livespeechportraits.

Thanks!

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