The token limits seem to have kicked in now (my first go was a few hours back and this is just my second attempt)
So now I’m curious if our two applications use the same approach under the hood! I have a detailed tech stack rundown on this page: https://own-voice-dev.netlify.app/#/info but in brief I use OpenVoice v2 to convert someone’s voice toward a differently-gendered reference voice, but leave it at only like 30%-60% transformed so it still sounds like them and not the reference. This transformed voice then becomes a practice reference for drilling.
I know it’s bad form to discuss that, but this is a completely normative comment, with no opinion given so far from being a flame. And it adds to the technical discussion!
I tried a few, I think the British American was maybe the best one. I didn't really notice a huge difference on Italian or Indian accent.
British - American https://pastewaves.com/player/25cacf64-461a-4eef-9b02-9bc0da...
A little shaky, but no doubt hints of a British Accent.
Why? You run across many people with accents every day, right? Well, it’s a problem; people definitely treat you differently.
This issue isn’t specific to the USA btw, it’s just I’ve been working in the USA for a long time.
Face to face, I work with Indians, Ukrainians, Vietnamese, Mexicans, Brazilians, Russians, Guatemalans, Cubans, Italians and I love to hear the twang each person has.
Curious what you mean by treated differently or why you needed to put so much effort into hiding your accent? Are you sure it wasn't just general English? Because of course you may get treated differently if you can't speak English...but I think the accent is not really a problem.