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https://github.com/coqui-ai/TTS https://github.com/coqui-ai/TTS the continuation of Mozilla TTS produces quite nice results I you pick the right models
by felixr 5y ago
https://github.com/coqui-ai/TTS https://github.com/coqui-ai/TTS the continuation of Mozilla TTS produces quite nice results I you pick the right models
- tomcumming 5y agoHow far away are we from a debian package that will work with speechd?
- pabs3 5y agoA real Debian package is unlikely, to start with Debian doesn't have a GPU farm for retraining the model from the source data, then probably the training requires proprietary GPU drivers, and probably a subset of the source data is proprietary. https://salsa.debian.org/deeplearning-team/ml-policy https://salsa.debian.org/deeplearning-team/ml-policy Stuffing an existing model into a .deb is of course fairly easy.
- codetrotter 5y agoSpeaking of retraining, I think it's also potentially a bit hairy with regards to reproducible builds don't you think? My impression is that machine learning models are often initialized with random values before training begins. And some of them may use additional random data while training as well, I think.
- DiogenesKynikos 5y agoYou can fix the seed for the pseudorandom number generator.
- pabs3 5y agoI think a bigger issue is that retraining isn't deterministic (ie bitwise identical) across different hardware, IIRC due to differing float behaviour. I guess folks interested in ML reproducible builds will have to ignore small differences in model float values, but I wonder what affect those differences on model outputs.
- karussell 5y agoI can confirm this. The setup was also relative easy for me.