So this looks like a high quality, fast, natural, and open source TTS system in Python. A key candidate for an #NVDA#addon. Unfortunately, I find #nvdasr addon development super confusing. Is there a good template to start from or something? github.com/thewh1teagle/kokoro-onnx
Yeah, I am deeply confused about how buffers work and how to indicate when speaking is complete and do indexing and so-on. If this is going to be an #NVDA addon, someone else will have to do it.
@fastfinge You need support from the synth for some features. This one doesn't have anything. Once it starts speaking, it blocks until it's done, so you can't interrupt it.
@fastfinge Taking this sentence and passing it straight through, it pauses after highly. That's not even that many words. He had quietly gone to Madame Pomfrey, who had regretfully told him that Dreamless Sleep was highly addicting and that while she could give him the occasional dose, it would have to be spread out enough to prevent it from becoming addicting – meaning he could only take it one night out of every two weeks or so.
@tspivey Also, how does NVDA chunk text it passes to a synth? Even that's not really documented anywhere LOL. I think Kokoro inference would need running in its own thread, so the thread could be killed when we wanted to stop speech rather than generating extra samples, and a knew thread could be started so you could start the new speech quickly, like when someone's pressing down arrow rapidly. But I don't have the time, and I'm not smart enough.
@tspivey Yeah, I'm increasingly convinced that @x0 is correct, and this would need to be part of Sonata if this was going to happen at all. They seem to have solved those issues mostly.
@fastfinge@tspivey my wife and I had an unexpected keyword argument a few years ago. She'd never heard of the word nomenclature. I ended up with gnomes on a clay chair as a whacky present as a reminder of the utter ridiculousness of the discussion.
@fastfinge@tspivey I read an article a while ago about a young American who's dad hadn't heard of a word she'd picked up at college. it wasn't a particularlycomplicated or unusual word, but much was made of it in this article.
I sometimes wish I had a searchable text file of everything my screen reader ever said.
