Deepfakes are all over the internet. And they’re no longer limited to videos. Now, there’s deepfake audio, too. Disturbingly realistic deepfake audio. This makes it ideal for scams, misinformation, and manipulation. Protect yourself with these four tips on detecting deepfake audio.
#1 – Pay Attention to the Speaking Tone
AI looks at things like pitch, accent, and speed to copy a person’s voice. But the one thing it struggles with is getting the tone right. AI simply can’t capture all the subtle emotional changes that make human speech so dynamic. At least not yet.
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And you should use it to your advantage. Listen closely to the suspicious audio and look for emotional depth. People show their feelings through changes in tone and small shifts in how they speak. For example, when you’re angry, your voice might get sharper or louder at times.
Deepfake audio, on the other hand, often sounds flat or dry. The voice may be clear, but it lacks emotional depth. Another sign that you might be listening to deepfake audio is when the tone doesn’t match the message. If the voice says, “I can’t believe we lost the game.” with a slightly excited tone, it’s probably AI-generated.
#2 – Listen for Slip-Ups
Deepfake audio isn’t made from scratch. It takes a lot of samples of a person’s voice to mimic it accurately. This means that the AI is limited to the words it has learned. So, if it encounters a word or phrase that isn’t in the training samples, it can trip up.
And this is where you can catch deepfake audio. You should listen closely for things like mispronounced words or stumbling over phrases. The AI might have trouble with unusual or complex words or pause awkwardly when saying a unique phrase. If these mistakes happen often, it’s a huge red flag. After all, humans will make mistakes from time to time. But constantly failing to pronounce words correctly is a clear sign of deepfake audio.
#3 – Don’t Ignore the Background
Real audios don’t always have perfectly clean recordings. There’s usually some background noise, like chatter, traffic, or distant TV. But you won’t often hear static, crackling, or strange distortions in this noise. And these odd sounds are precisely what you might hear in AI-generated audio. So, you shouldn’t just focus on the voice itself. You should also pay attention to the background. If it’s too perfect or has strange noises that don’t fit, it could be deepfake audio.
#4 – Use a Detection Tool
Given how advanced AI is, it’s perfectly understandable not to trust your own ears. Even if listen carefully to the suspicious audio, it can still be hard to tell if it’s real or a deepfake. This is where technology can help. After all, detection tools are much better at spotting scams and manipulations than we are. So, instead of fearing AI, you should use it to your advantage. Look for a reliable AI-powered deepfake audio detector and scan your clip. This scan should give you all the clarity you need.
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