We provide a multi-modal digital identity verification through face and voice biometrics. One layer of security that can add more accuracy on detecting fraud is the voice(speaker) verification.
PresentID Speaker verification API/SDK checks whether two voices belong to the same person or not. This capability is potentially useful in call centers.
We propose a deep learning-based method for speaker verification. Our team has worked on this project for more than 1 year and the accuracy has passed over benchmarks such as the accuracy of the paper by Andrew Zisserman Group at Oxford University. Contrary to other methods that are text-dependent, our system is text and language independent.
The processing speed of our model is less than 1 sec. The system identifies a person by just checking two voices with a length of 4 secs. Our system works perfectly in English, French, Spanish, German, Persian and Arabic, even in a noisy environment.
First, read the PresentID Privacy Notice carefully before Trying the demo.
1. Open this page on your mobile phone
2. Press the record icon
3. Allow access to your recorder
4. Press the record icon to stop recorder
5. Press the play button and listen to your voice
6. If confirmed, press upload
7. Repeat the above for the second voice
8. Finally, Press Compare
PresentID Speaker verification API checks whether two voices belong to the same person or not. This capability is potentially useful in call centers.Free Try
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