Most of these languages dont even have enough professional voice actors to cover the bandwidth.
And you think anyone is training AI voice models for those languages? Have you even seen how long it takes even large companies like Google to support the languages with hundreds of millions of speakers?
That’s the benefit of using AI and machine learning - once you have enough source material, you can throw it all in and it’ll eventually spit out a model.
Which is exactly what Meta did with their Massively Multilingual Speech project which supports text-to-speech and speech-to-text for 1107 different languages.
Is it actually any good in 99% of them, I don’t have a clue, but it exists.
Seems more like a proof of concept project for that paper than something they are pursuing seriously judging by the GitHub location in some example folder that hasn’t seen any significant updates in over a year. If it is so great I would assume they would pursue it more actively and replace existing models with it two years later.
Is it? I just tried again yesterday for a simple script since coding is the one thing apparently AI will replace people like me and it could not put together a working JavaScript script.
I have yet to see tangible results not announced by the people with sunken cost exploding their balls.
Sounds like a skill issue my dude. While you struggle to get a js script people are putting out entire programs with AI assistants so sure - you’re right and they’re wrong
Yes, to effectively use AI you actually have to understand the medium you’re in to describe the problem you’re trying to solve. You can get there with prompting but it’ll take you much longer if you just don’t understand code yourself.
Thats why most senior software devs are not afraid of LLMs cause they need strong oversight and thats exactly what years of software dev experience trained you to do.
I’m a programmer with 22 years of experience. I understood the code well enough having written the solution myself the day before; I was precisely trying to see if AI would be useful with this example as it was a tad above basic stuff but not niche at all…
It failed miserably. The code ran but didn’t do anyithing at all or it did the wrong thing 4updating the wrong column for example). It would often ignore my requirements in favour of something easier
The worst part is it kept saying it “got it” and telling me some bs about why it didn’t work just to not correct it
Thats why most senior software devs are not afraid of LLMs cause they need strong oversight and thats exactly what years of software dev experience trained you to do.
what’s the point of this? If it cannot provide clean code and I have to check every line myself, I rather work with a junior who would usually do better, actually learn from my feedback and their experience and eventually become an independant asset
You’re fundamentally misunderstanding the comment you replied to, they are not saying that voice AI are bad, they are saying there is not enough training data to improve the AI for these languages. How will it improve without good training data?
Thats not how AI training works and even then there’s absolutely enough data. Also training data can be created and even synthesized. There are many techniques to extract make training value from datasets that we discover every year - It’s really not a problem you think it is.
I’m genuinely confused how AI illiterate users here are. It’s just blind leading the blind.
And you think anyone is training AI voice models for those languages? Have you even seen how long it takes even large companies like Google to support the languages with hundreds of millions of speakers?
That’s the benefit of using AI and machine learning - once you have enough source material, you can throw it all in and it’ll eventually spit out a model.
Which is exactly what Meta did with their Massively Multilingual Speech project which supports text-to-speech and speech-to-text for 1107 different languages.
Is it actually any good in 99% of them, I don’t have a clue, but it exists.
Seems more like a proof of concept project for that paper than something they are pursuing seriously judging by the GitHub location in some example folder that hasn’t seen any significant updates in over a year. If it is so great I would assume they would pursue it more actively and replace existing models with it two years later.
It becomes easier and cheaper every day. Today’s open source LLMs are better than last year’s best model.
Is it? I just tried again yesterday for a simple script since coding is the one thing apparently AI will replace people like me and it could not put together a working JavaScript script.
I have yet to see tangible results not announced by the people with sunken cost exploding their balls.
Sounds like a skill issue my dude. While you struggle to get a js script people are putting out entire programs with AI assistants so sure - you’re right and they’re wrong
yeah, I guess I didn’t prompt right lol
Yes, to effectively use AI you actually have to understand the medium you’re in to describe the problem you’re trying to solve. You can get there with prompting but it’ll take you much longer if you just don’t understand code yourself.
Thats why most senior software devs are not afraid of LLMs cause they need strong oversight and thats exactly what years of software dev experience trained you to do.
I’m a programmer with 22 years of experience. I understood the code well enough having written the solution myself the day before; I was precisely trying to see if AI would be useful with this example as it was a tad above basic stuff but not niche at all…
It failed miserably. The code ran but didn’t do anyithing at all or it did the wrong thing 4updating the wrong column for example). It would often ignore my requirements in favour of something easier
The worst part is it kept saying it “got it” and telling me some bs about why it didn’t work just to not correct it
what’s the point of this? If it cannot provide clean code and I have to check every line myself, I rather work with a junior who would usually do better, actually learn from my feedback and their experience and eventually become an independant asset
Stop drinking the kool aid
You’re fundamentally misunderstanding the comment you replied to, they are not saying that voice AI are bad, they are saying there is not enough training data to improve the AI for these languages. How will it improve without good training data?
Thats not how AI training works and even then there’s absolutely enough data. Also training data can be created and even synthesized. There are many techniques to extract make training value from datasets that we discover every year - It’s really not a problem you think it is.
I’m genuinely confused how AI illiterate users here are. It’s just blind leading the blind.