There’s a new voice agent / speech-to-speech benchmark released every other week.
So we’ve been looking closely at the design decisions and the assumptions those decisions introduce.
On our latest blog: what the model hears, and the choice between human and synthetic speech.
At @hellomundoai, we recently worked with @sesame and others on TurnBench, an open benchmark for measuring turn-taking in spoken dialogue.
One of the hardest challenges we faced: how do you collect specific conversational behaviours without making them feel staged?
Ask someone to “interrupt more” or “sound angry,” and you often end up measuring their performance of the instruction rather than the behaviour itself.
We wrote about what we learned building TurnBench:
mundoai.world/research/the-n…
Read more: mundoai.world/research/perce…
Today we’re announcing Mundo’s $20M Series A, led by @GreatPointVC .
Together with our previously unannounced $4M seed, we’ve raised $24M to build the data layer for perceptual intelligence.
Mundo AI retweeted
Mundo AI (@hellomundoai) is building the world’s largest and highest-quality multilingual data library to help AI labs un-bottleneck their multilingual model development.
ycombinator.com/launches/Mu4…
Congrats on the launch @jasonio2000, @naijide_a, @garrethleee & @kennethmundoai!




