Hi Adrian, The idea is that if you use a large enough speech database to train, it then tends to work OK on general speech from outside the training database. I used about 13 hours of speech for training. It's available for free download.
The samples on the blog post were from outside the training database, so it's working OK on general speech signals. However I imagine we'll find some corner cases where the speech is still a bit rough. As Gregory says, synthesis now runs on regular CPUs. Those samples were generated on a 2012 model laptop (with AVX instruction set) at about 3x real time. All an end-user needs is a decent CPU (e.g. a modern smartphone or desktop/laptop) and a few MBytes of RAM (the synthesis executable is 10Mbytes unstripped). Instructions for trying it are on the LPCNet page. - David On 05/03/19 04:22, Adrian Musceac wrote: > 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 > _______________________________________________ Freetel-codec2 mailing list Freetel-codec2@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/freetel-codec2
