I'm not familiar with the specifics of how AI models work but doesn't the ability from some of the demos rule out what you've said above? Eg. The speeding up and slowing down speech and the sarcasm don't seem possible if TTS was a separate component
It would be interesting to hear the details, but what OpenAI seem to have done is build a neural net based speech synthesizer which is similarly flexible because it it generating the audio itself (not stitching together samples) conditioned on the voice ("Sky", etc) it is meant to be mimicking. Dialing the emotion up/down is basically affecting the prosody and intonation. The singing is mostly extending vowel sounds and adding vibrato, but it'd be interesting to hear the details. In the demo Brockman refers to the "singing voice", so not clear if they can make any of the 5 (now 4!) voices sing.
In any case, it seems the audio is being generated by some such flexible tts, not just decoded from audio tokens generated by the model (which anyways would imply there was something - basically a tts - converting text tokens to audio tokens). They also used the same 5 voices in the previous ChatGPT which wasn't claiming to be omnimodal, so maybe basically the same tts being used.
AI models exist to make up bullshit that fills a gap. When you have a conversation with any LLM it's merely autocompleting the next few lines of what it thinks is a movie script.
FWIW, I would find it very surprising if you could get the low latency expressiveness, singing, harmonizing, sarcasm and interpretation of incoming voice through SSML -- that would be a couple orders of magnitude better than any SSML product I've seen.