> replicating human voice with emotion and nuance (way more difficult than neutrally reading a text on Wikipedia) How much of that difficulty could be skipped

> replicating human voice with emotion and nuance (way more difficult than neutrally reading a text on Wikipedia) How much of that difficulty could be skipped with a bit of basic markup, to indicate things like emotion (<sad>, <happy>), tone (<sarcastic>, <forceful>) etc? That is, how much of the difficulty is inferring the emotion/tone/etc from the text, as opposed to expressing it in the generated speech?