Hi David, I read your article with interest. I'm curious your efforts and how it scales for a normal person as opposed to a huge internet company. If I read the conclusions correctly, in order to achieve similar voice faithfulness as 8 kHz PCM, it seems that one needs to have a huge amount of training data to represent possible words and utterances. I admit I know nothing of this neural network thing, but to me it looks like there is no way to achieve similar quality for every possible amateur radio person who might decide to use it unless all the other users have recordings of the same thing he is trying to say. Now this approach might work reasonably well for Wavenet since they have access one way ort another to a huge amount of voice samples to train their network.
How does this scale for normal hams though? Do each of us need a huge GPU and voice samples to even be able to use this? I am afraid that this might have even less success with hams than current FreeDV releases. Best regards, Adrian _______________________________________________ Freetel-codec2 mailing list Freetel-codec2@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/freetel-codec2
