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Deepfake Voices: AI’s New Playgroundby@adamboudj
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Deepfake Voices: AI’s New Playground

by Adam BoudjemaaAugust 8th, 2023
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In today’s digital age, AI can mimic voices with precision. How do we separate genuine voices from AI-generated replicas? The combination of blockchain and digital signatures might just have the answer. Every genuine voice recording can be associated with a unique digital signature, akin to a data fingerprint.

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Unmasking the Truth!

Tom, an employee, got a surprise call one day. “Tom, it’s your CEO. I need a big favor. Please send some money to this account. It’s urgent.” The voice sounded exactly like his CEO. Almost fooled, Tom was about to transfer the money but decided to double-check. Lucky he did! It was a scam using a copied CEO voice. Welcome to the world of deepfakes. In today’s digital age, AI can mimic voices with precision. So, how do we separate genuine voices from AI-generated replicas? The combination of blockchain and digital signatures might just have the answer.


Deepfake or AI Voice Impersonation: We didn’t see it coming

Imagine if someone could perfectly copy your voice and make it say anything they wanted. Scary, right? That’s what AI can do now. It’s like a talented mimic who can sound just like famous people. But it’s not just celebrities who are at risk.


Picture this: You get a voice message from your boss or your spouse urgently asking you to transfer money to a certain account. It sounds exactly like them, but in reality, it’s a scammer using AI to copy their voice. This new kind of scam is catching many people off guard because they trust the familiar voice they hear.

Deepfakes are computer tricks. Using special software, people can now make fake voices or videos. Just like editing a picture to put your face on a superhero’s body, computers can now edit voices. So, you might think someone said something when they never did.


Digital Signatures: The Voice’s Unique ID Card

The Authentic Stamp: Every genuine voice recording can be associated with a unique digital signature, akin to a data fingerprint. When a celebrity or public figure makes an authentic recording, this signature, derived from the recording, is created.

For Example: If Taylor Swift releases a new podcast episode, the episode’s digital signature is generated. Any future clip claiming to be from her can be checked against this signature for authenticity.


Blockchain: Unseen Guardian of Authentic Voices

Now, where to keep these secret voice codes safe? Enter “blockchain”. Imagine blockchain as a magic diary. Once you write something in it, it stays there forever. No one can change or erase it.


The Ledger of Authenticity: While blockchain isn’t a storage solution for audio, it can securely store the digital signatures of authentic voice recordings. This decentralized ledger ensures that once a signature is stored, it can’t be tampered with.


For Example: A new interview by Bill Gates emerges. By comparing the digital signature of this interview with the one stored on the blockchain, its authenticity can be verified.


Public Verification: Your Chance to Unmask AI’s Deception

As we said previously, Blockchain is like a big, clear book. Everyone can read it. This book helps us check if a voice is real or fake. Still, we need to be careful. Fake voices are very tricky. Think of John. He got a call one day. It was like his sister’s voice, saying, “I’m in trouble! Send money fast!” John, very scared, sent the money. But guess what? It wasn’t his sister. Someone fooled him with a fake voice.

That’s why some smart folks are making new tools. Think of these tools like computer “health checks” for voices. Just like how we use antivirus programs to catch bad software on our computer, these tools check voices to see if they’re real or fake. They help us stay safe from sneaky voice tricks.”


Pictures, Sounds, Actions — All Can Be Tricked

They twist images and sounds to make fake videos. Imagine this: You see a video where a famous football player is asking for donations for a fake charity. It looks real! You're about to donate because you trust him. But, it's not really him. It's a scam. A computer has mixed his images and voice together. So, with deepfakes, seeing isn't always believing. Beware!

Time stamping: Time Traveler’s Defense Against Out-of-Context Voices

Context Matters: Digital signatures can also provide a tamper-proof timestamp of when a voice recording was made. This ensures that genuine voices aren’t taken out of context.


For Example: A 2010 clip of Leonardo DiCaprio discussing climate change is presented as recent in 2023. The timestamp in the digital signature can confirm the original date, preventing potential misinterpretations.

Future Companies: Spotting Fake Videos and Sounds

Soon, there will be special companies. Their job? Checking videos, photos, or voices to see if they are real.


How It Works:

  • You see a video online. But something feels off.

  • You use this company’s service. Maybe you pay once or join a monthly plan.

  • Send them the video, photo, link, or voice clip.

  • Their smart software checks everything.


Computers see details our eyes and ears miss. So, they can spot the fake parts. This way, we always know the truth. No more tricks by deepfakes. These companies will help keep things real in the digital world.

Stay Alert, Stay Safe

The internet is full of wonders but also dangers. Deepfakes are one of the newest dangers. So, always double-check. If something looks or sounds strange, ask a friend. Maybe even check it online.


In this game of real vs. fake, it’s best to trust but verify. Computers are smart, but you can be smarter. Always double-check. Safety first.

Other Solutions

Beyond Blockchain: While blockchain and digital signatures offer promising solutions, research is ongoing for more ways to combat voice deepfakes. From voice biometrics to AI detectors that can identify unnatural patterns in audio, the fight against voice impersonation is multi-faceted.


Conclusion

As AI’s capabilities in voice replication grow, so does the need for robust verification methods. While no single solution is a silver bullet, the combination of blockchain, digital signatures, and emerging technologies offers hope. In the battle of AI deepfakes vs. authenticity, technology is our main line of defense.