I think there are two "sweet spots" here. The first is being able to correct a few things that sound off, as another poster pointed out. "Hey, that's not actua

I think there are two "sweet spots" here. The first is being able to correct a few things that sound off, as another poster pointed out. "Hey, that's not actually how you pronounce 'synecdoche', it should be 'sɪˈnɛk.doʊ.k'." Or "Less emphasis on the first word, more on the second". Little corrections like that. I imagine a two-stage process where the first generates 'best guess' SSML (or whatever markup) based on the text. Then the content creator can modify it as necessary before it goes into the second step of actual voice synthesis. The second sweet spot is when your text is dynamically generated. Marking up the entire copy might be a lot of work for pre-written text, but it's a great option for dynamically generated text.