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Accents in latent spaces: How AI hears accent strength in English

accent-strength.boldvoice.com

121–130 of 131 posts

Re: Accents in latent spaces: How AI hears accent strength in English

#121
post #101
post #9

Earlier quoted context omitted.

> There's always the tendency for people to say "my accent is the neutral standard against which all others should be measured". You can measure this by mutual intelligibility with other accent groupings.

Well, no. That would also measure what accents someone has the most exposure to, which doesn't necessarily reflect its "absolute intelligibility", but rather its popularity. Popularity and optimality are not the same thing. You would first need to measure if an accent's popularity is a result of its optimality to make the claim that your measure is accurate.

> Popularity and optimality are not the same thing.

Yes they are. If we lived in a world where Australia was a world superpower we might be having this conversation upside down and with r’s where there shouldn’t be any, but we don’t. Every student wants to learn to speak with an American accent because it has the highest level of intelligibility owing to exposure via cinema, music, expatriate communities, etc.

Re: Accents in latent spaces: How AI hears accent strength in English

#122
Unrelated with th article itself, but I strongly disagree with the usage of the verb "hears" used in the title.

This verb is used for living organisms, and AFAIK, AI is not living, nor an organism.

This kind of subtle yet nasty personification is what encourages people to believe more in the fact that an AI "thinks" by itself or by extension that "AGI" is really close, or even worse, tricks more easily people into believe AI outputs.

"AI detects" would have been way more suitable.

Re: Accents in latent spaces: How AI hears accent strength in English

#123

The hear my own voice without an accent thing is a really cool party trick. I’d consider making this feature available free with super low friction, maybe no signup required, to get some viral traction.

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

Is the approach being used to do accented TTS (or just reference recordings), and then a tone color conversion model that just changes the timbre? Because if I say a completely different sentence it still says the original words, haha.

Re: Accents in latent spaces: How AI hears accent strength in English

#124

Earlier quoted context omitted.

I'm 42% Arabic apparently! And 20% Russian. Got an 81% American accent level. I guess it is tuned to non-native-English speaker accents.

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

Native English speaker with a rolled-R accent, so I can see why it picked Arabic/Russian.

Re: Accents in latent spaces: How AI hears accent strength in English

#125
post #121
post #101

Earlier quoted context omitted.

Well, no. That would also measure what accents someone has the most exposure to, which doesn't necessarily reflect its "absolute intelligibility", but rather its popularity. Popularity and optimality are not the same thing. You would first need to measure if an accent's popularity is a result of its optimality to make the claim that your measure is accurate.

> Popularity and optimality are not the same thing. Yes they are. If we lived in a world where Australia was a world superpower we might be having this conversation upside down and with r’s where there shouldn’t be any, but we don’t. Every student wants to learn to speak with an American accent because it has the highest level of intelligibility owing to exposure via cinema, music, expatriate communities, etc.

Then you're not describing mutual intelligibility:

> In linguistics, mutual intelligibility is a relationship between different but related language varieties in which speakers of the different varieties can readily understand each other without prior familiarity or special effort.

(emphasis mine) https://en.wikipedia.org/wiki/Mutual_intelligibility

Re: Accents in latent spaces: How AI hears accent strength in English

#126
post #43

Like others recently, I've been extremely impressed by LLM's ability to play GeoGuessr, or, more generally, to geo-locate random snapshots that you give them, with what seem (to me) to be almost no context clues. (I gave ChatGPT loads of holiday snapshots, screenshotted to remove metadata, and it did amazingly.) I assume that, with enough training, we could get similarly accurate guesses of a person's linguistic hist…

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)

It detects my non-native English accent correctly, but then it makes the mistaken assumption that I want to sound like an American of all things?

Re: Accents in latent spaces: How AI hears accent strength in English

#127
post #65

Earlier quoted context omitted.

Yeah, as long as it’s intelligible an accent is perfectly fine It’s also perfectly fine to want to sound like a native speaker - whether it be because they are self conscious, think it will benefit them in some way, or simply want to feel like they are speaking “correctly” Sorry to pick on you, it’s just amazing to me how sensitive we are to “inclusivity” to the point where we almost discourage people wanting to fit…

Intelligibility heavily depends on what you expect to hear, and that depends on your native language or even locality. Even a tiny amount of French accent in English makes it sound like gibberish to me (but not others, and I don't have this issue with other thick accents). I'm sure my native accent is also incompatible with someone else's ears. That's the reason people pay accent coaches.

I understand the feeling, but I can usually adapt pretty quickly when someone speaks in a very unexpected accent. Sometimes I can even remember the sounds well enough that I can reinterpret it on the fly without having to ask them to repeat.

Re: Accents in latent spaces: How AI hears accent strength in English

#128
post #65

Earlier quoted context omitted.

Yeah, as long as it’s intelligible an accent is perfectly fine It’s also perfectly fine to want to sound like a native speaker - whether it be because they are self conscious, think it will benefit them in some way, or simply want to feel like they are speaking “correctly” Sorry to pick on you, it’s just amazing to me how sensitive we are to “inclusivity” to the point where we almost discourage people wanting to fit…

Being legible also means to cater to your audience. I work in an English-speaking company in a country where English isn't the native language, with loads of non-native speakers from around the world. Sometimes the native/best English speakers are the ones being misunderstood, because they use idioms or advanced words. None of us are bad at English, and I don't mean that I need to "dumb it down" (if anything, verball…

I've read of a language, or I guess dialect of English called "European english", i.e. English as spoken Europeans that learnt it as a second language. Another example is how a Brit using too many idioms like "Bob's your uncle" would confuse English speakers that haven't been exposed to Britishisms.

Searching on YouTube just gives me this relevant result, an English that has some new/odd words that's been adapted by the Euro-bureaucrats https://www.youtube.com/watch?v=vf8KxvRYvQU

Re: Accents in latent spaces: How AI hears accent strength in English

#129
post #5

What the vector-space data gets right, and what the human commentary tends not to, is the idea that accents are a complex statistical distribution. You should be careful about the concept of a "default" or "neutral" accent. Telecommunications has spent the 20th century flattening accents together, as has accent discrimination. There's always the tendency for people to say " my accent is the neutral standard against w…

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 learning platform that provides instruction to our users, we do need to set some kind of direction in our pedagogy, but we 100% recognize that there isn't just 1 American English accent, and there's lots of variance.

Kids who grow up on US military bases have a very homogenized north american accent.

Re: Accents in latent spaces: How AI hears accent strength in English

#130

I'm torn. On the one hand, the tech is impressive, and the demo is nicely done. On the other, I think the demo completely misses the point. There's a disconnect between what learners need to learn and what this model optimises for, and it's probably largely explainable by how difficult (maybe even impossible) getting training datasets is. That, and marketing. I believe most learners optimise for two things: being und…

I don't believe that phonemes are real. They are a product of centuries long literacy, and the stereotypically "foreign" accent results from people being taught to construct the words from phonemes. Not all languages can be neatly split into a nice set of phonemes - Danish phonology in particular seems mostly imaginary, and the "insane grammar" of Old Irish appears to result from the fact that word/morpheme boundarie…

> I don't believe that phonemes are real

I used to think the same until I came across the VQ-VAE paper [1], where the goal was to let the model learn the smallest units of speech without any supervision. Interestingly, the model ended up learning units that closely aligned with the phonemes we recognize today.

[1] - https://arxiv.org/pdf/1711.00937

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