One question that frequently arises is the accuracy of voice biometrics. Organizations want to ensure that the voice biometrics application will prevent the bad guys from getting in, while at the same time, ensuring that the good guys can get in.
Basically, voice biometrics accuracy is measured by two factors:
1) False acceptance rate (FAR) – unauthorized person is accepted
2) False rejection rate (FRR) – authorized person is rejected
FAR and FRR can be plotted against each other. The point of intersection is known as the crossover error rate (CER). It should be obvious that the lower the CER the better.
It’s a fine art to tune voice biometrics applications to achieve simultaneously low FARs (i.e., keeping the unauthorized folks out) and low FRRs (letting the authorized folks in).
5 months ago