Voice Authentication

Voice AuthenticationA user's voice can be used to authenticate them in any scenario where audio can be recorded and processed. A text-dependent voice algorithm requires the user to repeat the same phrase each time making it more accurate than other approaches. Longer phrases yield the best results. A text-independent approach allows the user to say any words to confirm their identity. This approach is suited to background authentication performed during a support call or when in conversation with an automated bot.

How does voice authentication work?

Voice biometrics use a trained background model constructed from thousands of utterances to represent average speaker characteristics. It is important to use representative audio from people with similar demographics, devices and capture environments to the target population. During verification, the captured audio is compared with both the background model and the user’s own enrollment data to determine if there is a valid match.

Voice verification checks that the verification utterance originates from the same person who recorded the earlier enrollment data. In text-dependent speech a specialized speech recognition algorithm is often used to confirm that the correct expected phrase-words were uttered.

Voice is best suited to authenticating a user, although it can also be used for identification in conjunction with a forensic voice expert. The accuracy of voice biometrics can be affected by the microphone used, presence of loud background noise, and the quality of the communications channel the audio is transmitted over. Voice authentication results are best when a person uses the same capture microphone each time, i.e. their personal smartphone.

Voice biometrics includes anti-spoofing techniques which detects replays, recordings and other substitution attempts.

Find out more about how Daon’s IdentityX platform allows organizations to authenticate customers using voice recognition, alongside other biometric options.