The "Anger Speech" has an obvious lisp (Maybe a homage to Elmer Fudd?). But I hear a similar, but more subtle, speech impediment in the "Adoration Speech". The "Fearful Speech" might have a slight warble to it. And the "Long Speech" is difficult to evaluate because the speaker has vocal fry to an extent that I find annoying.

> TADA takes a different path. Instead of compressing audio into fewer fixed-rate frames of discrete audio tokens, we align audio representations directly to text tokens — one continuous acoustic vector per text token. This creates a single, synchronized stream where text and speech move in lockstep through the language model.

So basically just concatenating the audio vectors without compression or discretization?

I haven’t read the full paper yet (I know, I should before commenting), but this explanation puzzles me.

Could you maybe trick it into thinking it was continuing a sample for an assistant use case if the sample was generic enough?

I appreciate them being honest about it though because otherwise I might spend two days trying to make it work.

https://huggingface.co/HumeAI/tada-3b-ml

https://github.com/HumeAI/tada