Voice cloning is one of the main achievements of artificial intelligence. You can easily clone your voice and speak in any language using AI. However, unfortunately, scammers have started using AI to clone voices for scam calls. Scammers can clone voice of your loved ones or celebrities and call you in their voice with the intent of extorting money.
The question here is how to identify AI voice scam calls on your smartphone. Companies like Google, Truecaller, etc. have testing AI voice detection features for their caller apps. Google is experimenting with its Gemini Nano AI to identify scam calls in real-time. It checks for patterns commonly associated with spam calls and will give a pop-up if it is likely a scam. The feature is not yet available to the public.
Truecaller, the popular caller ID and spam detection service, has recently implemented a new AI voice detection feature in its app. It can analyze for AI voice patterns commonly associated with scams and if it detects them, it will let you know in real-time. Here is how to enable it.
How to Detect AI Voice Scam Calls on Android Phone?
1. First, install Truecaller app from the Play Store (Link) and launch it.
2. Tap the three dots menu on top right and select Settings.
3. Next, select Calls. If you see any pending features disabled, grant permission to enable them.
4. You will get a prompt to set Truecaller as the default caller ID & spam app. Grant permission to it.
5. Now, during a live call, you will see a “Start AI Call Scanner” feature.
6. Tap it, if you feel the call is likely a fraud or scam.
7. Truecaller will analyze the voice and detect for AI voice patterns.
8. If it detects, you will get “AI voice detected” message on the calling screen.
Note that this feature is currently available in the United States. It may soon be available in other countries.
Because scam calls may seem unbelievably genuine, you may want to verify whether it is an AI or not by following the guide provided above. It is expecting that Google will soon release AI voice scam call detection feature for Android phones. Stay tuned for details.
