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Because of this, at this time we will not be releasing our research, model or datasets publicly. Has OpenAI's handling of GPT-2 inadvertently provided political cover for commercial organizations who would love to claim they engage with the ML research community but would actually prefer to contribute nothing other than medium articles?
there are tools that do that now, but i find that i can't listen to the current quality of computer generated voices for more than a few minutes.
with an almost human like voice i don't think i'll care if there is the occasional glitch that makes me realize that it is a generated voice as long as it sounds fine otherwise.
Impressive (really), but it raises a more philosophical question (as in practical ethics): do we really want voice-bots to blend in perfectly, or should they better feature distinctive marks (like a rather monotonous personality)? [Edit: This is not so much about DeepFakes, as discussed in the article, but more about a general level of implementation.]
If I want a Dan Rather news reader application that parses text and says it to me (and obviously, Dan Rather is okay with it), I see no issue with that. I don't want to be distracted by the artificial tone and attempting to parse it on my end.