285
AI scam calls imitating familiar voices are a growing problem – here's how they work
(theconversation.com)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 10 Oct 2023
285 points (97.0% liked)
Technology
58144 readers
4484 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
Anyone know how many hours of training data it takes to build up a convincing model of someone’s voice? It was 10’s of hours when I did a bit of research a year ago… the article says social media is the likely source of training data for these scams, but that seems unlikely at this point.
A current state of the art ai model from Microsoft can achieve acceptable quality with about 3 seconds of audio. Commercially available stuff like eleven labs about 30 minutes. But quality will obviously vary heavily but then again they're using a low quality phone call so maybe not that important
That’s downright scary :-) I think it took longer in the last Mission Impossible.
30 minutes is still pretty minimal for the kind of targeted attack it sounds like this is used for. I suppose we all need to work with our families on code words or something.
I went in thinking the article was a bit alarmist, but that’s clearly not the case. Thank for the insight.
With that little, they may be able to recreate the timbre of someone's voice, but speech carries a multitude of other identifiers and idiosyncrasies that they're unlikely to get with that little audio, like personal vocabulary (we don't choose the same words and phrasings for things), specific pronunciations (e.g. "library" vs "libary"), voice inflections, etc. Obviously, the more training data you have, the better the output.
ElevenLabs only needs 1 minute, but it also works with even shorter clips.