Viewing profile — ilyausorov

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.

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…

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, …

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 righ…

Amazing! If you can make it go viral again too, I will love you!

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 effecti…

Correct, not LLM

Indeed yeah that’s one of the key weaknesses of the approach that we’re using. It overrides the speakers cadence and accent while keeping their voice profile / timbre in place. Dif…

Was that right? Or what is the correct native language it should have predicted? Note the %s in the accent breakdown section are prediction probabilities

What if it was already available? Try it out at https://accentfilter.com !

No, the dataset isn't published beyond what you see on the 2D visualization. Sorry.

Thanks, we're doing our best!

We actually did something like this for non-native English speakers a few months back. Check out https://accentoracle.com (most mind-blowing if you're a non native English speaker)…

Indeed, although the inference output of the model is based on the ratings input that we trained it on. And that rating input was done by American English native speakers, so this …

That's a fascinating idea! Definitely something to try out for our team. We actively and continuously do all sorts of experiments with our machine learning models to be able to ext…

Sure, that's fair. We apply labels that have a connotation of strength based on the distance, but the underlying calculation is indeed based on distance.

This and more exciting features are coming to the BoldVoice app soon!

For sure, and I don't think we ever use the term default or neutral. The "the American English accent of our expert accent coach Eliza" is just that -- it's one accent. As a learni…