Really awesome work! I've been trying to do some of this real time back and forth voice coaching myself and it's no easy feat. Congrats on the progress.

Yeah – this is hard stuff. If we're successful in getting the this right, our users won't be feeling any of the complexity.

> our users won't be feeling any of the complexity.

brother, your users are children that you try to manipulate

For sure the voice standardization model is not perfect, but it was important for us to do especially for the voice privacy. It’s still pretty early tech.

Thanks, we love you too

Yeh they seem to be in the same "major" cluster, although Serbian/Croatian, Romanian, Bulgarian, Turkish, Polish and Czech are all close.

Turkish and Persian seem to be the nearest neighbors.

Plotly is great! Much love.

Yeh, we would've loved to see that too. It's on our roadmap for sure. Same for some of the other languages with a large amount of unique accents like e.g. French, Chinese, Arabic, etc...

Nothing too secret in there! We anonymized everything and anyway it's just a basic Plotly plot. Feel free to check it out.

Good question! It's likely because there are lots of different accents of Spanish that are distinct from each other. Our labels only capture the native language of the speaker right now, so they're all grouped together but it's definitely on our to-do list to go deeper into the sub accents of each language family!

Spanish is one of those languages I would love to see as a breakdown by country. I’m sure Chilean Spanish looks very different from Catalonian Spanish.

Did you mean Catalan (which is not Spanish) or Castilian Spanish?

Yes the Spanish spoken in Spain, especially the one that’s like /ˈɡɾaθjas/ and /baɾθeˈlona/.

But Spanish sounds very different in Spain depending on what region of the country you are talking about.

Yeah, and not all Spaniards have a distinct pronunciation for "c" and "s". For those curious: https://en.wikipedia.org/wiki/Phonological_history_of_Spanis...

We did built two free tools, which are geared towards non-native English speakers. You can find them at https://accentoracle.com and https://accentfilter.com. They're less effective for English native speakers, but could still be fun.

Correct, not LLM