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Marketplace Tech

Why audio deepfakes are so hard to spot

Marketplace Tech

Marketplace

Technology, News

4.51.3K Ratings

🗓️ 14 May 2026

⏱️ 12 minutes

🧾️ Download transcript

Summary

Voice cloning is the use of artificial intelligence to generate a clone of a real person’s voice, imitating the sound, when they pause and what words they typically emphasize. And it can be hard for people to identify voices as being AI-generated.


Research last year from UC Berkeley professor Hany Farid, an expert in digital forensics, found that people correctly identify a voice as AI-generated only 60% of the time.


Marketplace’s Stephanie Hughes spoke with Farid about the rapid sophistication of audio deepfakes, why it's so hard to tell the difference between a real voice and an AI-generated one right now, and some tips to help you spot voice clones.

Transcript

Click on a timestamp to play from that location

0:00.0

Will the real Stephanie please stand up?

0:04.4

From American Public Media, this is Marketplace Tech.

0:07.1

I'm Stephanie Hughes.

0:17.4

Voice cloning is the use of artificial intelligence to generate a real person's voice.

0:23.2

That includes imitating the sound, when they pause, what words they typically emphasize.

0:28.1

It can be hard for people to identify voices as being AI generated.

0:32.7

Let's give it a shot. I'm going to test you guys here.

0:35.8

One of these is the real me, and one is an AI

0:38.8

clone with audio generated by 11 labs. So, is this the real Stephanie? Or is this the real Stephanie?

0:46.4

I'll do it again. This first one? Or the second one? There was a little bit of reverb in the second one.

0:56.3

That's UC Berkeley professor Hanee Farid, an expert in digital forensics.

1:01.4

Which you tend not to hear in the AI-generated voices.

1:04.8

And he's right.

1:05.7

The second one is the real me.

1:08.1

But if you got it wrong, you're not alone.

1:12.8

According to a study Farid published last year, people correctly identify a voice as AI generated only 60% of the time. I asked Farid why it's

1:20.6

so hard to tell the difference between a real voice and an AI generated one. Well, the short

1:26.4

answer is they're very, very natural.

1:28.9

And the reason for that is that these systems have been trained now on thousands and tens of

1:34.3

thousands and hundreds of thousands of hours of audio.

1:38.0

And so it's seen essentially the whole universe of possible human speech and it's learning

1:42.9

the patterns.

...

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